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How To Write A Research Paper

Step-By-Step Tutorial With Examples + FREE Template

By: Derek Jansen (MBA) | Expert Reviewer: Dr Eunice Rautenbach | March 2024

For many students, crafting a strong research paper from scratch can feel like a daunting task – and rightly so! In this post, we’ll unpack what a research paper is, what it needs to do , and how to write one – in three easy steps. 🙂 

Overview: Writing A Research Paper

What (exactly) is a research paper.

• How to write a research paper
• Stage 1 : Topic & literature search
• Stage 2 : Structure & outline
• Stage 3 : Iterative writing
• Key takeaways

Let’s start by asking the most important question, “ What is a research paper? ”.

Simply put, a research paper is a scholarly written work where the writer (that’s you!) answers a specific question (this is called a research question ) through evidence-based arguments . Evidence-based is the keyword here. In other words, a research paper is different from an essay or other writing assignments that draw from the writer’s personal opinions or experiences. With a research paper, it’s all about building your arguments based on evidence (we’ll talk more about that evidence a little later).

Now, it’s worth noting that there are many different types of research papers , including analytical papers (the type I just described), argumentative papers, and interpretative papers. Here, we’ll focus on analytical papers , as these are some of the most common – but if you’re keen to learn about other types of research papers, be sure to check out the rest of the blog .

With that basic foundation laid, let’s get down to business and look at how to write a research paper .

Overview: The 3-Stage Process

While there are, of course, many potential approaches you can take to write a research paper, there are typically three stages to the writing process. So, in this tutorial, we’ll present a straightforward three-step process that we use when working with students at Grad Coach.

These three steps are:

• Finding a research topic and reviewing the existing literature
• Developing a provisional structure and outline for your paper, and
• Writing up your initial draft and then refining it iteratively

Let’s dig into each of these.

Need a helping hand?

Step 1: Find a topic and review the literature

As we mentioned earlier, in a research paper, you, as the researcher, will try to answer a question . More specifically, that’s called a research question , and it sets the direction of your entire paper. What’s important to understand though is that you’ll need to answer that research question with the help of high-quality sources – for example, journal articles, government reports, case studies, and so on. We’ll circle back to this in a minute.

The first stage of the research process is deciding on what your research question will be and then reviewing the existing literature (in other words, past studies and papers) to see what they say about that specific research question. In some cases, your professor may provide you with a predetermined research question (or set of questions). However, in many cases, you’ll need to find your own research question within a certain topic area.

Finding a strong research question hinges on identifying a meaningful research gap – in other words, an area that’s lacking in existing research. There’s a lot to unpack here, so if you wanna learn more, check out the plain-language explainer video below.

Once you’ve figured out which question (or questions) you’ll attempt to answer in your research paper, you’ll need to do a deep dive into the existing literature – this is called a “ literature search ”. Again, there are many ways to go about this, but your most likely starting point will be Google Scholar .

If you’re new to Google Scholar, think of it as Google for the academic world. You can start by simply entering a few different keywords that are relevant to your research question and it will then present a host of articles for you to review. What you want to pay close attention to here is the number of citations for each paper – the more citations a paper has, the more credible it is (generally speaking – there are some exceptions, of course).

Ideally, what you’re looking for are well-cited papers that are highly relevant to your topic. That said, keep in mind that citations are a cumulative metric , so older papers will often have more citations than newer papers – just because they’ve been around for longer. So, don’t fixate on this metric in isolation – relevance and recency are also very important.

Beyond Google Scholar, you’ll also definitely want to check out academic databases and aggregators such as Science Direct, PubMed, JStor and so on. These will often overlap with the results that you find in Google Scholar, but they can also reveal some hidden gems – so, be sure to check them out.

Once you’ve worked your way through all the literature, you’ll want to catalogue all this information in some sort of spreadsheet so that you can easily recall who said what, when and within what context. If you’d like, we’ve got a free literature spreadsheet that helps you do exactly that.

Step 2: Develop a structure and outline

With your research question pinned down and your literature digested and catalogued, it’s time to move on to planning your actual research paper .

It might sound obvious, but it’s really important to have some sort of rough outline in place before you start writing your paper. So often, we see students eagerly rushing into the writing phase, only to land up with a disjointed research paper that rambles on in multiple

Now, the secret here is to not get caught up in the fine details . Realistically, all you need at this stage is a bullet-point list that describes (in broad strokes) what you’ll discuss and in what order. It’s also useful to remember that you’re not glued to this outline – in all likelihood, you’ll chop and change some sections once you start writing, and that’s perfectly okay. What’s important is that you have some sort of roadmap in place from the start.

At this stage you might be wondering, “ But how should I structure my research paper? ”. Well, there’s no one-size-fits-all solution here, but in general, a research paper will consist of a few relatively standardised components:

• Introduction
• Literature review
• Methodology

Let’s take a look at each of these.

First up is the introduction section . As the name suggests, the purpose of the introduction is to set the scene for your research paper. There are usually (at least) four ingredients that go into this section – these are the background to the topic, the research problem and resultant research question , and the justification or rationale. If you’re interested, the video below unpacks the introduction section in more detail. 

The next section of your research paper will typically be your literature review . Remember all that literature you worked through earlier? Well, this is where you’ll present your interpretation of all that content . You’ll do this by writing about recent trends, developments, and arguments within the literature – but more specifically, those that are relevant to your research question . The literature review can oftentimes seem a little daunting, even to seasoned researchers, so be sure to check out our extensive collection of literature review content here .

With the introduction and lit review out of the way, the next section of your paper is the research methodology . In a nutshell, the methodology section should describe to your reader what you did (beyond just reviewing the existing literature) to answer your research question. For example, what data did you collect, how did you collect that data, how did you analyse that data and so on? For each choice, you’ll also need to justify why you chose to do it that way, and what the strengths and weaknesses of your approach were.

Now, it’s worth mentioning that for some research papers, this aspect of the project may be a lot simpler . For example, you may only need to draw on secondary sources (in other words, existing data sets). In some cases, you may just be asked to draw your conclusions from the literature search itself (in other words, there may be no data analysis at all). But, if you are required to collect and analyse data, you’ll need to pay a lot of attention to the methodology section. The video below provides an example of what the methodology section might look like.

By this stage of your paper, you will have explained what your research question is, what the existing literature has to say about that question, and how you analysed additional data to try to answer your question. So, the natural next step is to present your analysis of that data . This section is usually called the “results” or “analysis” section and this is where you’ll showcase your findings.

Depending on your school’s requirements, you may need to present and interpret the data in one section – or you might split the presentation and the interpretation into two sections. In the latter case, your “results” section will just describe the data, and the “discussion” is where you’ll interpret that data and explicitly link your analysis back to your research question. If you’re not sure which approach to take, check in with your professor or take a look at past papers to see what the norms are for your programme.

Alright – once you’ve presented and discussed your results, it’s time to wrap it up . This usually takes the form of the “ conclusion ” section. In the conclusion, you’ll need to highlight the key takeaways from your study and close the loop by explicitly answering your research question. Again, the exact requirements here will vary depending on your programme (and you may not even need a conclusion section at all) – so be sure to check with your professor if you’re unsure.

Step 3: Write and refine

Finally, it’s time to get writing. All too often though, students hit a brick wall right about here… So, how do you avoid this happening to you?

Well, there’s a lot to be said when it comes to writing a research paper (or any sort of academic piece), but we’ll share three practical tips to help you get started.

First and foremost , it’s essential to approach your writing as an iterative process. In other words, you need to start with a really messy first draft and then polish it over multiple rounds of editing. Don’t waste your time trying to write a perfect research paper in one go. Instead, take the pressure off yourself by adopting an iterative approach.

Secondly , it’s important to always lean towards critical writing , rather than descriptive writing. What does this mean? Well, at the simplest level, descriptive writing focuses on the “ what ”, while critical writing digs into the “ so what ” – in other words, the implications. If you’re not familiar with these two types of writing, don’t worry! You can find a plain-language explanation here.

Last but not least, you’ll need to get your referencing right. Specifically, you’ll need to provide credible, correctly formatted citations for the statements you make. We see students making referencing mistakes all the time and it costs them dearly. The good news is that you can easily avoid this by using a simple reference manager . If you don’t have one, check out our video about Mendeley, an easy (and free) reference management tool that you can start using today.

Recap: Key Takeaways

We’ve covered a lot of ground here. To recap, the three steps to writing a high-quality research paper are:

• To choose a research question and review the literature
• To plan your paper structure and draft an outline
• To take an iterative approach to writing, focusing on critical writing and strong referencing

Remember, this is just a b ig-picture overview of the research paper development process and there’s a lot more nuance to unpack. So, be sure to grab a copy of our free research paper template to learn more about how to write a research paper.

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The Savvy Scientist

Experiences of a London PhD student and beyond

How to Write the First Draft of an Academic Research Paper

Actually making a start and putting together a first draft can certainly be the biggest stumbling block to getting a paper submitted. Unless you make a start, it’ll never progress! Drafting your first paper is even more difficult when you don’t yet have experience writing papers and submitting them to journals.

I know from experience how daunting the prospect can be and just how easy it is to unnecessarily procrastinate for months. But it doesn’t have to be difficult and the main thing is making a start. I’m here to try and help making the process less daunting for you!

This guide to drafting your first academic paper forms part of the publishing series . I suggest reading these associated posts in particular:

• What to publish
• When to publish
• Where to publish

What to include in your first draft of an academic research paper

Let me start by saying that no one should be expecting for your first draft to be perfect! I wasted months of time on my first paper because I wanted to perfect everything, down to the wording, before sharing it with my supervisor. This is completely the wrong approach!

Instead of perfecting your first draft, just work to form the rough structure of your paper around whatever you want your key message to be. We discussed this further in the separate post: Deciding what to publish from your PhD work . Simply try to ensure your first draft roughly tells the story of what you want your main message to be.

It is absolutely fine for your first draft to be a rough cut, it should simply serve as a starting point. Therefore for example you can include extra figures you’re not sure about to be able to discuss with your co-authors whether or not they should be included. Throughout the drafting process you want to aiming to make your key message as clear and robust as possible but for now it’s fine to not be sure on the finer details. It may help to look at your favourite papers from the literature to get an idea what papers in your field typically include.

For now, don’t worry the quality of the written text, or finalising your figures. You want to use the first draft to form the rough structure and be a starting point for discussion with co-authors.

Let’s now discuss how to structure your first draft.

Structuring your first draft

If you already have a certain journal in mind to submit your paper to, how you structure your draft may slightly depend upon the format that the journal asks for. It’s a good idea to check their Author Instructions page which should include a “Guide for Authors”: a walkthrough of each section of the paper. Oftentimes there may even be a template you can download including section titles and advice for structuring your text.

If you don’t yet have a journal in mind, don’t worry. For the most part all journals follow the same format. For an original research paper, usually you’ll include sections as follows:

• Abstract – typically around 200-250 words or less.
• Introduction
• Conclusions – sometimes appears as the final paragraph of the discussion section.

Then followed by Author Contributions, Funding sources, Acknowledgments, Conflicts of Interest, any Supplementary files or Appendix and finally the list of References. None of these sections you really have to worry about at this stage.

Let’s go through roughly what to include in each section:

Introduction:

• A brief review of previous literature to set the scene;
• The motivation for the study;
• The aims of your study;
• Sometimes you may include a very brief overview of your main findings. See what other papers in the journal do.

Always include enough detail for someone else to be able to repeat your experiments, including:

• How many samples did you test? How did you process them? Were there inclusion/exclusion criteria?
• If you synthesised or processed physical samples, what materials have you used? Include processing temperatures, durations of each step etc.
• What equipment and consumables did you use? Include the item code, model number and manufacturer.
• How did you process the data? Name the software package, version and operations you performed.
• Details of any statistical analysis: software packages, models, methods, inclusion/exclusion criteria and so forth.

In all instances where you followed a method developed in another paper, include a reference to that paper. Not only is it good practice to give credit where it is due but you’ll have an easier time with peer review demonstrating you’re following the convention.

Remember, you shouldn’t be discussing findings in your results section, simply presenting them. Therefore there shouldn’t really be any suggesting why the results are a certain way. The exception is where the journal specifically allows results and discussion sections to be combined. Further on in this post is a section about choosing figures and results to include in your paper, and most of these will appear in your results section.

• Your results should aim to convince the reader of your key message.
• Be conscious that when first looking at your paper, most readers will go straight to looking at your figures.
• Cite every figure you include, in the order you include them. Clearly explain what is being presented.

Discussion:

The way I was taught to write a discussion was to simply use four paragraphs/sections covering:

• Your key finding . You can even start it with the sentence “The most important finding of this work was”
• Comparison to previous literature . How do your findings compare to other papers? What was the same? What was different? How do your findings progress the field? What would you recommend next?
• Limitations . Every study has limitations, don’t try and hide them. Be honest with what wasn’t ideal during your study. Examples may be: small sample size, imperfect analysis, impractical sample processing. If you can, cite other papers which relate to these limitations: either in regards to why it’s not such a big problem, how it is common problem, or potential solutions or improvements for future studies. In any case, be honest. You can recommend future work to overcome these limitations if appropriate.
• Conclusions . Give a brief set of conclusions with reference to the potential impact of your work for future studies.

You can see how I used exactly this format for a recent paper available here .

Eager to learn more about the steps involved in publishing your first paper? My academic publishing series is now available as a free eBook which you can read offline. Click the button below for access.

In which order should you write the sections of the first draft?

Everyone writes papers differently, so what works for me may not work well for you. Personally once I start a document for a new paper, I typically write notes for each section as I think of them but go with the following strategy to get the text written.

Generally it is acknowledged that the methods section is an easy section to write, so I would suggest starting there. Even if you’ve got writer’s block, writing your methods is pretty robotic and shouldn’t require much thought. It simply involves writing down the process you went through to collect all your data. Writing the methods is an easy starting point which should give you confidence to dive into the other sections. In the above graphic I’ve separated the conclusions from the discussion but often the conclusions will simply be the final paragraph of the discussion section.

After the methods you can start drafting your key results and your discussion will naturally follow from there. If you follow the structure for the discussion as outlined in the section above, it should also be formulaic and pretty easy to write if you’ve got a clear message.

By all means crack on with the introduction whenever you fancy. If you’re in the mood to write it, don’t stop yourself! I personally like to write notes for it and include key references as I’m going along, but write the bulk of it after the methods, results and the bulk of the discussion.

Usually it is recommended to write the abstract last once everything else is finalised.

Choosing which figures to present

Remember you’re creating a story around your key message. As such all your figures should be helping to convince your reader of your key message.

• Be aware that there are sometimes limits on the maximum number of figures you’re allowed to include (around 8) in the main text of your paper. Usually you can move figures to a supplementary section if necessary. Prioritise the most impactful figures to illustrate your main point.
• Each figure should aim to address a certain point around your key message to convince readers. You can combine figures as panels within a larger figure but only do so if they address the same overall point. Don’t confuse readers by combining loads of unrelated things just because you’re running out of space!
• Always make sure the caption fully describes what the figure is showing. The figure and caption should explain what is going on without the reader having to read any of the main text. What type of equipment generated the data? How many samples were tested? What do the error bars show? What is the scale? For stats: what is the p-value?

You may need a figure to describe your methods but after that usually you’ll try to include figures in an order which tells a story. Importantly: this order may not be the one in which experiments actually took place. You’re trying to tell a story to get a message across, not write a diary! It’s no problem to move sections of results around if it makes for a more convincing message, especially for readers who may only have a quick glance through your paper.

For example you may wish to start with your key finding, then follow with any validation work, then finally include more details to convince the reader. It will really depend on what suits the work you’re doing, but remember that you have full control and your aim should be to make a clear story.

My top tips for putting together your first draft of the paper

Iterate quickly.

My main bit of advice is to get a first draft put together pretty quickly otherwise you risking wasting lots of time like I did! I wish I had sent the initial drafts of my first paper to my supervisor sooner. I spent far too long trying to perfect it down to the exact phrasing of sentences. There is no point getting to this level of detail if there is potentially an improved completely different direction to take the paper in!

What I’ve found to work really well is to set deadlines with your supervisor to ensure you are making progress to submission. You don’t have to have the full paper available all at once. I have had calendar invites set up saying by a certain date I’d have sections of the paper sent across, and to limit procrastination no date was more than four weeks away.

After your supervisor(s) has had a look, send it across to any co-authors. It may take a few iterations until everyone is happy. Once you have the backing of your coauthors, don’t be scared to submit your manuscript slightly sooner than you feel comfortable.

A reviewer is pretty unlikely to outright reject your paper if they want more experiments to be carried out: they’ll ask for what they want in the review process.

Always think about the next publication

Once you start writing, you may struggle deciding what to include and what not to. Remember though that this doesn’t mean you need to delay publishing if you already have a clear story. Unless all your work sits together very neatly, please resist the urge to include everything in a single paper.

If you’ve got results you’d like to publish but they don’t sit nicely with the main message of this paper, you can always consider publishing them separately later. It is much more important to create a clear message with a coherent story than to include extra work just because you did it!

Although some academics shun the “salami slice” connotations of having many smaller papers, it doesn’t always make sense to force different experiments together in to one paper. I recently published two different papers in the same special issue of a journal, both were related but had very different messages:

• Quantifying 3D Strain in Scaffold Implants for Regenerative Medicine
• Exploratory Full-Field Mechanical Analysis across the Osteochondral Tissue—Biomaterial Interface in an Ovine Model

It wouldn’t have made for a stronger paper to combine them because in essence they were telling separate stories.

It’s fine for your first draft if you’re not exactly sure what to include. Once you’ve got the rough form of the paper sorted, you can add or reduce bits as necessary. The key thing is to get a first draft done to get the framework for the paper. No one is expecting it to be perfect!

Word vs LaTex

I know some people enjoy using LaTex for their documents, but I’ve never used it. Everyone I’ve always worked with uses Word, so even if I was keen to use LaTex I’m not sure that it would be that easy to collaborate on documents to track changes etc. Journals will often request the paper to be submitted as a Word document so probably save using LaTex for your own internal reports or theses.

Keep your data, files and figures organised

This point extends far beyond your first draft of a paper! Once you start iterating on papers, it becomes more important than ever to know where all your key files are. Ensure you keep different version of documents clearly labelled.

Be prepared for reviewers to ask for modifications to figures or data to be reanalysed.

What I do is keep a folder for the paper and include the main working draft plus other relevant documents like notes or draft of the cover letter. I then have subfolders for data, figures and old drafts.

Aim to present figures with a clear message which are easy to “get”

Making figures is the focus of a whole other post which will follow this one. In short:

A lot of readers will initially flick through your paper and skip straight to your figures. It’s really important that the figures tell the story clearly and can be understood by just looking at the figure and caption. Also, if the readers don’t like the look of your figures, or can’t understand them, they’re less likely to bother reading the rest of the paper. Again, have a look at how published papers present their work to get some ideas.

You’ll want to make your figures in such a way that they can be amended easily to account for any adjustments suggested by co-authors or reviewers. I use a combination of Excel and Photoshop for most of my figures. There are lots of alternatives depending on what you’re presenting, GIMP is a free alternative to Photoshop.

If you make them in Paint and someone suggests making some alterations, it could take you ages. Instead if you make them in a non-binding software like Photoshop you can easily make non-destructive changes element by element.

It is worth spending time creating nice figures. Having polished figures makes your submission look more professional, ensuring the underlying science is easy to understand is critical too. Plus you can use them elsewhere, such as in presentations or other documents.

Got a draft? What happens next

The hard work is far from over once you have your first draft but you’ve overcome a really big hurdle in the journey to getting your work published. Now it’s time to discuss your draft with co-authors, incorporating feedback and changes into subsequent drafts.

There is no certain number of drafts you should expect to go through before submission, just know that you could endlessly spend time finding things to add (discussed here ) and you should be very conscious to avoid doing! For my papers I think it took around four drafts until we felt happy enough to submit. Not all of your co-authors have to give feedback for every draft, I’d suggest the main people you’ll be liaising with will be your supervisor(s) though it’s certainly important that everyone has an opportunity to help.

Once all of the authors, including yourself, are happy with the paper, speak to your supervisor for how to proceed with submission. Some supervisors like to lead the submission whereas others prefer for the student to do so, and then to transfer “corresponding authorship” at the final stages before publication.

In any case, be prepared to feel vulnerable when you do eventually submit the research paper to a journal. This can be completely normal, your work is going to get critiqued! But remember that you’ve done great and rather than leave the data on a computer you’re motivated to pursue publication in turn helping progress your field. Well done!

I hope this post has helped with your first draft of a paper! Remember that you can find the other posts in the series here: Writing an academic journal paper series. Next we’ll be covering creating figures and dealing with reviewers.

Please let me know what you thought of it or if there are any other details of publishing which you’d like help with .

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How to write your first research paper.

Writing a research manuscript is an intimidating process for many novice writers in the sciences. One of the stumbling blocks is the beginning of the process and creating the first draft. This paper presents guidelines on how to initiate the writing process and draft each section of a research manuscript. The paper discusses seven rules that allow the writer to prepare a well-structured and comprehensive manuscript for a publication submission. In addition, the author lists different strategies for successful revision. Each of those strategies represents a step in the revision process and should help the writer improve the quality of the manuscript. The paper could be considered a brief manual for publication.

It is late at night. You have been struggling with your project for a year. You generated an enormous amount of interesting data. Your pipette feels like an extension of your hand, and running western blots has become part of your daily routine, similar to brushing your teeth. Your colleagues think you are ready to write a paper, and your lab mates tease you about your “slow” writing progress. Yet days pass, and you cannot force yourself to sit down to write. You have not written anything for a while (lab reports do not count), and you feel you have lost your stamina. How does the writing process work? How can you fit your writing into a daily schedule packed with experiments? What section should you start with? What distinguishes a good research paper from a bad one? How should you revise your paper? These and many other questions buzz in your head and keep you stressed. As a result, you procrastinate. In this paper, I will discuss the issues related to the writing process of a scientific paper. Specifically, I will focus on the best approaches to start a scientific paper, tips for writing each section, and the best revision strategies.

1. Schedule your writing time in Outlook

Whether you have written 100 papers or you are struggling with your first, starting the process is the most difficult part unless you have a rigid writing schedule. Writing is hard. It is a very difficult process of intense concentration and brain work. As stated in Hayes’ framework for the study of writing: “It is a generative activity requiring motivation, and it is an intellectual activity requiring cognitive processes and memory” [ 1 ]. In his book How to Write a Lot: A Practical Guide to Productive Academic Writing , Paul Silvia says that for some, “it’s easier to embalm the dead than to write an article about it” [ 2 ]. Just as with any type of hard work, you will not succeed unless you practice regularly. If you have not done physical exercises for a year, only regular workouts can get you into good shape again. The same kind of regular exercises, or I call them “writing sessions,” are required to be a productive author. Choose from 1- to 2-hour blocks in your daily work schedule and consider them as non-cancellable appointments. When figuring out which blocks of time will be set for writing, you should select the time that works best for this type of work. For many people, mornings are more productive. One Yale University graduate student spent a semester writing from 8 a.m. to 9 a.m. when her lab was empty. At the end of the semester, she was amazed at how much she accomplished without even interrupting her regular lab hours. In addition, doing the hardest task first thing in the morning contributes to the sense of accomplishment during the rest of the day. This positive feeling spills over into our work and life and has a very positive effect on our overall attitude.

Rule 1: Create regular time blocks for writing as appointments in your calendar and keep these appointments.

2. start with an outline.

Now that you have scheduled time, you need to decide how to start writing. The best strategy is to start with an outline. This will not be an outline that you are used to, with Roman numerals for each section and neat parallel listing of topic sentences and supporting points. This outline will be similar to a template for your paper. Initially, the outline will form a structure for your paper; it will help generate ideas and formulate hypotheses. Following the advice of George M. Whitesides, “. . . start with a blank piece of paper, and write down, in any order, all important ideas that occur to you concerning the paper” [ 3 ]. Use Table 1 as a starting point for your outline. Include your visuals (figures, tables, formulas, equations, and algorithms), and list your findings. These will constitute the first level of your outline, which will eventually expand as you elaborate.

The next stage is to add context and structure. Here you will group all your ideas into sections: Introduction, Methods, Results, and Discussion/Conclusion ( Table 2 ). This step will help add coherence to your work and sift your ideas.

Now that you have expanded your outline, you are ready for the next step: discussing the ideas for your paper with your colleagues and mentor. Many universities have a writing center where graduate students can schedule individual consultations and receive assistance with their paper drafts. Getting feedback during early stages of your draft can save a lot of time. Talking through ideas allows people to conceptualize and organize thoughts to find their direction without wasting time on unnecessary writing. Outlining is the most effective way of communicating your ideas and exchanging thoughts. Moreover, it is also the best stage to decide to which publication you will submit the paper. Many people come up with three choices and discuss them with their mentors and colleagues. Having a list of journal priorities can help you quickly resubmit your paper if your paper is rejected.

Rule 2: Create a detailed outline and discuss it with your mentor and peers.

3. continue with drafts.

After you get enough feedback and decide on the journal you will submit to, the process of real writing begins. Copy your outline into a separate file and expand on each of the points, adding data and elaborating on the details. When you create the first draft, do not succumb to the temptation of editing. Do not slow down to choose a better word or better phrase; do not halt to improve your sentence structure. Pour your ideas into the paper and leave revision and editing for later. As Paul Silvia explains, “Revising while you generate text is like drinking decaffeinated coffee in the early morning: noble idea, wrong time” [ 2 ].

Many students complain that they are not productive writers because they experience writer’s block. Staring at an empty screen is frustrating, but your screen is not really empty: You have a template of your article, and all you need to do is fill in the blanks. Indeed, writer’s block is a logical fallacy for a scientist ― it is just an excuse to procrastinate. When scientists start writing a research paper, they already have their files with data, lab notes with materials and experimental designs, some visuals, and tables with results. All they need to do is scrutinize these pieces and put them together into a comprehensive paper.

3.1. Starting with Materials and Methods

If you still struggle with starting a paper, then write the Materials and Methods section first. Since you have all your notes, it should not be problematic for you to describe the experimental design and procedures. Your most important goal in this section is to be as explicit as possible by providing enough detail and references. In the end, the purpose of this section is to allow other researchers to evaluate and repeat your work. So do not run into the same problems as the writers of the sentences in (1):

1a. Bacteria were pelleted by centrifugation. 1b. To isolate T cells, lymph nodes were collected.

As you can see, crucial pieces of information are missing: the speed of centrifuging your bacteria, the time, and the temperature in (1a); the source of lymph nodes for collection in (b). The sentences can be improved when information is added, as in (2a) and (2b), respectfully:

2a. Bacteria were pelleted by centrifugation at 3000g for 15 min at 25°C. 2b. To isolate T cells, mediastinal and mesenteric lymph nodes from Balb/c mice were collected at day 7 after immunization with ovabumin.

If your method has previously been published and is well-known, then you should provide only the literature reference, as in (3a). If your method is unpublished, then you need to make sure you provide all essential details, as in (3b).

3a. Stem cells were isolated, according to Johnson [23]. 3b. Stem cells were isolated using biotinylated carbon nanotubes coated with anti-CD34 antibodies.

Furthermore, cohesion and fluency are crucial in this section. One of the malpractices resulting in disrupted fluency is switching from passive voice to active and vice versa within the same paragraph, as shown in (4). This switching misleads and distracts the reader.

4. Behavioral computer-based experiments of Study 1 were programmed by using E-Prime. We took ratings of enjoyment, mood, and arousal as the patients listened to preferred pleasant music and unpreferred music by using Visual Analogue Scales (SI Methods). The preferred and unpreferred status of the music was operationalized along a continuum of pleasantness [ 4 ].

The problem with (4) is that the reader has to switch from the point of view of the experiment (passive voice) to the point of view of the experimenter (active voice). This switch causes confusion about the performer of the actions in the first and the third sentences. To improve the coherence and fluency of the paragraph above, you should be consistent in choosing the point of view: first person “we” or passive voice [ 5 ]. Let’s consider two revised examples in (5).

5a. We programmed behavioral computer-based experiments of Study 1 by using E-Prime. We took ratings of enjoyment, mood, and arousal by using Visual Analogue Scales (SI Methods) as the patients listened to preferred pleasant music and unpreferred music. We operationalized the preferred and unpreferred status of the music along a continuum of pleasantness. 5b. Behavioral computer-based experiments of Study 1 were programmed by using E-Prime. Ratings of enjoyment, mood, and arousal were taken as the patients listened to preferred pleasant music and unpreferred music by using Visual Analogue Scales (SI Methods). The preferred and unpreferred status of the music was operationalized along a continuum of pleasantness.

If you choose the point of view of the experimenter, then you may end up with repetitive “we did this” sentences. For many readers, paragraphs with sentences all beginning with “we” may also sound disruptive. So if you choose active sentences, you need to keep the number of “we” subjects to a minimum and vary the beginnings of the sentences [ 6 ].

Interestingly, recent studies have reported that the Materials and Methods section is the only section in research papers in which passive voice predominantly overrides the use of the active voice [ 5 , 7 , 8 , 9 ]. For example, Martínez shows a significant drop in active voice use in the Methods sections based on the corpus of 1 million words of experimental full text research articles in the biological sciences [ 7 ]. According to the author, the active voice patterned with “we” is used only as a tool to reveal personal responsibility for the procedural decisions in designing and performing experimental work. This means that while all other sections of the research paper use active voice, passive voice is still the most predominant in Materials and Methods sections.

Writing Materials and Methods sections is a meticulous and time consuming task requiring extreme accuracy and clarity. This is why when you complete your draft, you should ask for as much feedback from your colleagues as possible. Numerous readers of this section will help you identify the missing links and improve the technical style of this section.

Rule 3: Be meticulous and accurate in describing the Materials and Methods. Do not change the point of view within one paragraph.

3.2. writing results section.

For many authors, writing the Results section is more intimidating than writing the Materials and Methods section . If people are interested in your paper, they are interested in your results. That is why it is vital to use all your writing skills to objectively present your key findings in an orderly and logical sequence using illustrative materials and text.

Your Results should be organized into different segments or subsections where each one presents the purpose of the experiment, your experimental approach, data including text and visuals (tables, figures, schematics, algorithms, and formulas), and data commentary. For most journals, your data commentary will include a meaningful summary of the data presented in the visuals and an explanation of the most significant findings. This data presentation should not repeat the data in the visuals, but rather highlight the most important points. In the “standard” research paper approach, your Results section should exclude data interpretation, leaving it for the Discussion section. However, interpretations gradually and secretly creep into research papers: “Reducing the data, generalizing from the data, and highlighting scientific cases are all highly interpretive processes. It should be clear by now that we do not let the data speak for themselves in research reports; in summarizing our results, we interpret them for the reader” [ 10 ]. As a result, many journals including the Journal of Experimental Medicine and the Journal of Clinical Investigation use joint Results/Discussion sections, where results are immediately followed by interpretations.

Another important aspect of this section is to create a comprehensive and supported argument or a well-researched case. This means that you should be selective in presenting data and choose only those experimental details that are essential for your reader to understand your findings. You might have conducted an experiment 20 times and collected numerous records, but this does not mean that you should present all those records in your paper. You need to distinguish your results from your data and be able to discard excessive experimental details that could distract and confuse the reader. However, creating a picture or an argument should not be confused with data manipulation or falsification, which is a willful distortion of data and results. If some of your findings contradict your ideas, you have to mention this and find a plausible explanation for the contradiction.

In addition, your text should not include irrelevant and peripheral information, including overview sentences, as in (6).

6. To show our results, we first introduce all components of experimental system and then describe the outcome of infections.

Indeed, wordiness convolutes your sentences and conceals your ideas from readers. One common source of wordiness is unnecessary intensifiers. Adverbial intensifiers such as “clearly,” “essential,” “quite,” “basically,” “rather,” “fairly,” “really,” and “virtually” not only add verbosity to your sentences, but also lower your results’ credibility. They appeal to the reader’s emotions but lower objectivity, as in the common examples in (7):

7a. Table 3 clearly shows that … 7b. It is obvious from figure 4 that …

Another source of wordiness is nominalizations, i.e., nouns derived from verbs and adjectives paired with weak verbs including “be,” “have,” “do,” “make,” “cause,” “provide,” and “get” and constructions such as “there is/are.”

8a. We tested the hypothesis that there is a disruption of membrane asymmetry. 8b. In this paper we provide an argument that stem cells repopulate injured organs.

In the sentences above, the abstract nominalizations “disruption” and “argument” do not contribute to the clarity of the sentences, but rather clutter them with useless vocabulary that distracts from the meaning. To improve your sentences, avoid unnecessary nominalizations and change passive verbs and constructions into active and direct sentences.

9a. We tested the hypothesis that the membrane asymmetry is disrupted. 9b. In this paper we argue that stem cells repopulate injured organs.

Your Results section is the heart of your paper, representing a year or more of your daily research. So lead your reader through your story by writing direct, concise, and clear sentences.

Rule 4: Be clear, concise, and objective in describing your Results.

3.3. now it is time for your introduction.

Now that you are almost half through drafting your research paper, it is time to update your outline. While describing your Methods and Results, many of you diverged from the original outline and re-focused your ideas. So before you move on to create your Introduction, re-read your Methods and Results sections and change your outline to match your research focus. The updated outline will help you review the general picture of your paper, the topic, the main idea, and the purpose, which are all important for writing your introduction.

The best way to structure your introduction is to follow the three-move approach shown in Table 3 .

Adapted from Swales and Feak [ 11 ].

The moves and information from your outline can help to create your Introduction efficiently and without missing steps. These moves are traffic signs that lead the reader through the road of your ideas. Each move plays an important role in your paper and should be presented with deep thought and care. When you establish the territory, you place your research in context and highlight the importance of your research topic. By finding the niche, you outline the scope of your research problem and enter the scientific dialogue. The final move, “occupying the niche,” is where you explain your research in a nutshell and highlight your paper’s significance. The three moves allow your readers to evaluate their interest in your paper and play a significant role in the paper review process, determining your paper reviewers.

Some academic writers assume that the reader “should follow the paper” to find the answers about your methodology and your findings. As a result, many novice writers do not present their experimental approach and the major findings, wrongly believing that the reader will locate the necessary information later while reading the subsequent sections [ 5 ]. However, this “suspense” approach is not appropriate for scientific writing. To interest the reader, scientific authors should be direct and straightforward and present informative one-sentence summaries of the results and the approach.

Another problem is that writers understate the significance of the Introduction. Many new researchers mistakenly think that all their readers understand the importance of the research question and omit this part. However, this assumption is faulty because the purpose of the section is not to evaluate the importance of the research question in general. The goal is to present the importance of your research contribution and your findings. Therefore, you should be explicit and clear in describing the benefit of the paper.

The Introduction should not be long. Indeed, for most journals, this is a very brief section of about 250 to 600 words, but it might be the most difficult section due to its importance.

Rule 5: Interest your reader in the Introduction section by signalling all its elements and stating the novelty of the work.

3.4. discussion of the results.

For many scientists, writing a Discussion section is as scary as starting a paper. Most of the fear comes from the variation in the section. Since every paper has its unique results and findings, the Discussion section differs in its length, shape, and structure. However, some general principles of writing this section still exist. Knowing these rules, or “moves,” can change your attitude about this section and help you create a comprehensive interpretation of your results.

The purpose of the Discussion section is to place your findings in the research context and “to explain the meaning of the findings and why they are important, without appearing arrogant, condescending, or patronizing” [ 11 ]. The structure of the first two moves is almost a mirror reflection of the one in the Introduction. In the Introduction, you zoom in from general to specific and from the background to your research question; in the Discussion section, you zoom out from the summary of your findings to the research context, as shown in Table 4 .

Adapted from Swales and Feak and Hess [ 11 , 12 ].

The biggest challenge for many writers is the opening paragraph of the Discussion section. Following the moves in Table 1 , the best choice is to start with the study’s major findings that provide the answer to the research question in your Introduction. The most common starting phrases are “Our findings demonstrate . . .,” or “In this study, we have shown that . . .,” or “Our results suggest . . .” In some cases, however, reminding the reader about the research question or even providing a brief context and then stating the answer would make more sense. This is important in those cases where the researcher presents a number of findings or where more than one research question was presented. Your summary of the study’s major findings should be followed by your presentation of the importance of these findings. One of the most frequent mistakes of the novice writer is to assume the importance of his findings. Even if the importance is clear to you, it may not be obvious to your reader. Digesting the findings and their importance to your reader is as crucial as stating your research question.

Another useful strategy is to be proactive in the first move by predicting and commenting on the alternative explanations of the results. Addressing potential doubts will save you from painful comments about the wrong interpretation of your results and will present you as a thoughtful and considerate researcher. Moreover, the evaluation of the alternative explanations might help you create a logical step to the next move of the discussion section: the research context.

The goal of the research context move is to show how your findings fit into the general picture of the current research and how you contribute to the existing knowledge on the topic. This is also the place to discuss any discrepancies and unexpected findings that may otherwise distort the general picture of your paper. Moreover, outlining the scope of your research by showing the limitations, weaknesses, and assumptions is essential and adds modesty to your image as a scientist. However, make sure that you do not end your paper with the problems that override your findings. Try to suggest feasible explanations and solutions.

If your submission does not require a separate Conclusion section, then adding another paragraph about the “take-home message” is a must. This should be a general statement reiterating your answer to the research question and adding its scientific implications, practical application, or advice.

Just as in all other sections of your paper, the clear and precise language and concise comprehensive sentences are vital. However, in addition to that, your writing should convey confidence and authority. The easiest way to illustrate your tone is to use the active voice and the first person pronouns. Accompanied by clarity and succinctness, these tools are the best to convince your readers of your point and your ideas.

Rule 6: Present the principles, relationships, and generalizations in a concise and convincing tone.

4. choosing the best working revision strategies.

Now that you have created the first draft, your attitude toward your writing should have improved. Moreover, you should feel more confident that you are able to accomplish your project and submit your paper within a reasonable timeframe. You also have worked out your writing schedule and followed it precisely. Do not stop ― you are only at the midpoint from your destination. Just as the best and most precious diamond is no more than an unattractive stone recognized only by trained professionals, your ideas and your results may go unnoticed if they are not polished and brushed. Despite your attempts to present your ideas in a logical and comprehensive way, first drafts are frequently a mess. Use the advice of Paul Silvia: “Your first drafts should sound like they were hastily translated from Icelandic by a non-native speaker” [ 2 ]. The degree of your success will depend on how you are able to revise and edit your paper.

The revision can be done at the macrostructure and the microstructure levels [ 13 ]. The macrostructure revision includes the revision of the organization, content, and flow. The microstructure level includes individual words, sentence structure, grammar, punctuation, and spelling.

The best way to approach the macrostructure revision is through the outline of the ideas in your paper. The last time you updated your outline was before writing the Introduction and the Discussion. Now that you have the beginning and the conclusion, you can take a bird’s-eye view of the whole paper. The outline will allow you to see if the ideas of your paper are coherently structured, if your results are logically built, and if the discussion is linked to the research question in the Introduction. You will be able to see if something is missing in any of the sections or if you need to rearrange your information to make your point.

The next step is to revise each of the sections starting from the beginning. Ideally, you should limit yourself to working on small sections of about five pages at a time [ 14 ]. After these short sections, your eyes get used to your writing and your efficiency in spotting problems decreases. When reading for content and organization, you should control your urge to edit your paper for sentence structure and grammar and focus only on the flow of your ideas and logic of your presentation. Experienced researchers tend to make almost three times the number of changes to meaning than novice writers [ 15 , 16 ]. Revising is a difficult but useful skill, which academic writers obtain with years of practice.

In contrast to the macrostructure revision, which is a linear process and is done usually through a detailed outline and by sections, microstructure revision is a non-linear process. While the goal of the macrostructure revision is to analyze your ideas and their logic, the goal of the microstructure editing is to scrutinize the form of your ideas: your paragraphs, sentences, and words. You do not need and are not recommended to follow the order of the paper to perform this type of revision. You can start from the end or from different sections. You can even revise by reading sentences backward, sentence by sentence and word by word.

One of the microstructure revision strategies frequently used during writing center consultations is to read the paper aloud [ 17 ]. You may read aloud to yourself, to a tape recorder, or to a colleague or friend. When reading and listening to your paper, you are more likely to notice the places where the fluency is disrupted and where you stumble because of a very long and unclear sentence or a wrong connector.

Another revision strategy is to learn your common errors and to do a targeted search for them [ 13 ]. All writers have a set of problems that are specific to them, i.e., their writing idiosyncrasies. Remembering these problems is as important for an academic writer as remembering your friends’ birthdays. Create a list of these idiosyncrasies and run a search for these problems using your word processor. If your problem is demonstrative pronouns without summary words, then search for “this/these/those” in your text and check if you used the word appropriately. If you have a problem with intensifiers, then search for “really” or “very” and delete them from the text. The same targeted search can be done to eliminate wordiness. Searching for “there is/are” or “and” can help you avoid the bulky sentences.

The final strategy is working with a hard copy and a pencil. Print a double space copy with font size 14 and re-read your paper in several steps. Try reading your paper line by line with the rest of the text covered with a piece of paper. When you are forced to see only a small portion of your writing, you are less likely to get distracted and are more likely to notice problems. You will end up spotting more unnecessary words, wrongly worded phrases, or unparallel constructions.

After you apply all these strategies, you are ready to share your writing with your friends, colleagues, and a writing advisor in the writing center. Get as much feedback as you can, especially from non-specialists in your field. Patiently listen to what others say to you ― you are not expected to defend your writing or explain what you wanted to say. You may decide what you want to change and how after you receive the feedback and sort it in your head. Even though some researchers make the revision an endless process and can hardly stop after a 14th draft; having from five to seven drafts of your paper is a norm in the sciences. If you can’t stop revising, then set a deadline for yourself and stick to it. Deadlines always help.

Rule 7: Revise your paper at the macrostructure and the microstructure level using different strategies and techniques. Receive feedback and revise again.

5. it is time to submit.

It is late at night again. You are still in your lab finishing revisions and getting ready to submit your paper. You feel happy ― you have finally finished a year’s worth of work. You will submit your paper tomorrow, and regardless of the outcome, you know that you can do it. If one journal does not take your paper, you will take advantage of the feedback and resubmit again. You will have a publication, and this is the most important achievement.

What is even more important is that you have your scheduled writing time that you are going to keep for your future publications, for reading and taking notes, for writing grants, and for reviewing papers. You are not going to lose stamina this time, and you will become a productive scientist. But for now, let’s celebrate the end of the paper.

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• Library Home
• Research Guides

Writing a Research Paper

• Draft Your Paper

Library Research Guide

• Choose Your Topic
• Evaluate Sources
• Organize Your Information
• Revise, Review, Refine

How Will This Help Me?

Drafting will help you:

• Get down all of your thoughts
• Determine the best organization for your paper
• Ensure all parts of your essay support your thesis
• See whether your main ideas have adequate support

Links for Writing Help

These resources can help you draft your paper. 

• K-State Writing Center The Writing Center, located in ECS 122D, provides one-to-one consultations and can help students during any stage of the writing process. They also hold hours in The Resource Link in Hale Library every week.
• Using Outlines This page from Writing Tutorial Services at Indiana University explains a variety of types of outlines and their uses in the writing process.
• Working with Working Outlines This resource from the Writing Center at Eastern Illinois University describes the usefulness and benefits of working outlines.
• Considering Structure and Organization This link to a resource from the Writing and Research Center at the University of Washington provides a thorough examination of the structure of a written argument.

Create a Working Outline

Outlines may seem like extra work, but they can make paper writing easier and more efficient. The trick is determining when and how to use outlines so that they serve as a tool to help rather than hinder you. If you like outlines, you might create an outline before writing and then update it throughout the writing process.

Outlines can be used other ways. For example, you might use an outline to transition from research to writing to help you figure out where you're going. You could also use an outline after writing a draft to ensure that every aspect of your paper supports your thesis statement and that the paper's organization is coherent.

Incorporate Source Material Effectively

To incorporate source material effectively into your writing, you need to know how to use signal phrases (attributive tags), when to use quotation marks, and how to paraphrase correctly. 

Signal phrases

• Tell readers the name of the source that you're borrowing information from.
• Lend credibility to your paper by describing the source's expertise.
• Can be used with paraphrasing or direct quoting. 
• Work with in-text citations. (Check your citation style--APA, MLA, etc.--to determine whether an in-text citation is still needed along with the attributive tag.)

Sample signal phrase: "Willie the Wildcat, mascot of Kansas State University, states that..."

Quotation marks

• Use the language from the source verbatim.
• Tell the reader you're borrowing the wording.
• Work with attributive tags and in-text citations to give credit to the source for the borrowed ideas and language.
• Should not be used in a way the misrepresents the source.

Sample quotation (using APA): Part of the mission of K-State is to "develop a highly skilled and educated citizenry" (Kansas State University, 2013, Mission Statement section, para. 5).

Complete paraphrases

• Present the source information completely in your own words. 
• Work with signal phrases and in-text citations to credit the source and to tell readers you've borrowed these ideas.
• Do not merely change every few words to synonyms.
• Do not retain the author's original sentence structure.

Sample paraphrase (using APA): K-State seeks to create an environment that encourages intellectual growth, academic freedom, and individual empowerment and prepares students to contribute to society after they leave the university (Kansas State University, 2013). 

Kansas State University. (2013). About the University. In Undergraduate Catalog 2013-2014. Retrieved from http://catalog.k-state.edu/content.php?catoid=13&navoid=1403

Cite Sources Correctly

Use these resources to help you cite your sources in your paper and on the references page.

• APA Formatting and Style Guide This guide from the OWL at Purdue can help you with formatting your paper, using in-text citations, creating the entries in your reference list, and using APA style in your writing.
• APA In-Text Citations: The Basics This page from the OWL at Purdue explains how to use the author-date system for in-text citations and how to format short and long quotations.
• MLA Formatting and Style Guide The OWL at Purdue's MLA style guide can help you with formatting your paper, using in-text citations, creating the entries in your bibliography, and using MLA style in your writing.
• MLA In-Text Citations: The Basics From the OWL at Purdue, this page explains how to use the author-page system for in-text citations and provides examples from a variety of source types.
• Chicago Manual of Style K-State Libraries has a subscription to the online version of the Chicago Manual of Style. Print copies are also available at the Library Help Desk.
• Chicago Manual of Style 17th Edition This guide from the OWL at Purdue can help you with formatting your paper, using author-date in-text citations or the Notes and Bibliography (NB) system, and creating the entries in your bibliography.

Write the Introduction and Conclusion

Sometimes, writing the introduction or the conclusion of your paper can be a challenge. The following tips may help you with the introduction:

• Include your thesis. Forecast the paper's organization with your main ideas.
• Offer a connection. Show readers how the topic relates to their lives.
• Provide context . Add background to bring your audience on board so they're ready for the rest of the paper. 
• Write it later. Try writing the introduction after you've written the rest of the paper. The introduction may come first, but you don't have to write it first. 
• Update it. Review the introduction after making changes to your paper. It may need changes too. 

Here are some tips to help with the conclusion:

• Restate your thesis. Remind readers of the point of your paper.
• Summarize your main ideas. Restate these so readers remember.
• Give it an end. Connect back to an early point in the paper to bring it full circle or leave them with an idea that is vivid, humorous, or meaningful. 
• Keep it relevant. Avoid introducing new topics not covered in your paper.
• Update it. Review the conclusion after making changes to your paper. It may need changes too. 

Check for Overall Consistency

Sometimes, while writing a draft, you may decide to change the direction of your paper. This is OK, but it requires some follow up work. If your paper takes shape in an unexpected way, ask yourself these questions:

• Does my thesis statement still make sense?
• Do all of my main ideas still work together to support the thesis?
• Do I have enough high quality evidence to support the new direction?
• Does the introduction serve its purpose still?
• Does the conclusion function as it should?

If you answer no to any questions, be sure to adjust the problem areas as needed to keep everything on track. 

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7.1 – Creating a Rough Draft for a Research Paper

Learning objectives.

• Apply strategies for drafting an effective introduction and conclusion.
• Identify when and how to summarize, paraphrase, and directly quote information from research sources.
• Apply guidelines for citing sources within the body of the paper and the bibliography.
• Use primary and secondary research to support ideas.
• Identify the purposes for which writers use each type of research.

After doing all of your research, you are ready to write your research paper.  Putting your thinking and research into words is exciting, but can also be challenging. In this section, you will learn strategies for handling the more challenging aspects of writing a research paper, such as integrating material from your sources, citing information correctly, and avoiding any misuse of your sources.

The Structure of a Research Paper

Research papers generally follow the same basic structure:

• an introduction that presents the writer’s thesis,
• a body section that develops the thesis with supporting points and evidence,
• and a conclusion that revisits the thesis and provides additional insights or suggestions for further research.

Your writing voice will come across most strongly in your introduction and conclusion, as you work to attract your readers’ interest and establish your thesis. These sections usually do not cite sources at length. They focus on the big picture, not specific details. In contrast, the body of your paper will cite sources extensively. As you present your ideas, you will support your points with details from your research.

Writing Your Introduction

There are several approaches to writing an introduction, each of which fulfills the same goals. The introduction should get readers’ attention, provide background information, and present the writer’s thesis. Many writers like to begin with one of the following catchy openers:

• A surprising fact
• A thought-provoking question
• An attention-getting quote
• A brief anecdote that illustrates a larger concept
• A connection between your topic and your readers’ experiences

The next few sentences place the opening in context by presenting background information. From there, the writer builds toward a thesis, which is traditionally placed at the end of the introduction. Think of your thesis as a signpost that lets readers know in what direction the paper is headed.

Jorge decided to begin his research paper by connecting his topic to readers’ daily experiences. Read the first draft of his introduction. The thesis is underlined. Note how Jorge progresses from the opening sentences to background information to his thesis.

Jorge’s Introduction

Beyond the hype: evaluating low-carb diets.

I. Introduction

Over the past decade, increasing numbers of dieters have jumped on the low-carb bandwagon. Some studies estimate that approximately 40 million Americans, or about 20 percent of the population, are attempting to restrict their intake of food high in carbohydrates (Sanders and Katz, 2004; Hirsch, 2004). Proponents of low-carb diets say they are not only the most effective way to lose weight, but they also yield health benefits such as lower blood pressure and improved cholesterol levels. Meanwhile, some doctors claim that low-carb diets are overrated and caution that their long-term effects are unknown. Although following a low-carbohydrate diet can benefit some people, these diets are not necessarily the best option for everyone who wants to lose weight or improve their health.

Writers often work out of sequence when writing a research paper. If you find yourself struggling to write an engaging introduction, you may wish to write the body of your paper first. Writing the body sections first will help you clarify your main points. Writing the introduction should then be easier. You may have a better sense of how to introduce the paper after you have drafted some or all of the body.

Writing Your Conclusion

In your introduction, you tell readers where they are headed. In your conclusion, you recap where they have been. For this reason, some writers prefer to write their conclusions soon after they have written their introduction. However, this method may not work for all writers. Other writers prefer to write their conclusion at the end of the paper, after writing the body paragraphs. No process is absolutely right or absolutely wrong; find the one that best suits you.

No matter when you compose the conclusion, it should sum up your main ideas and revisit your thesis. The conclusion should not simply echo the introduction or rely on bland summary statements, such as “In this paper, I have demonstrated that.…” In fact, avoid repeating your thesis verbatim from the introduction. Restate it in different words that reflect the new perspective gained through your research. That helps keep your ideas fresh for your readers. An effective writer might conclude a paper by asking a new question the research inspired, revisiting an anecdote presented earlier, or reminding readers of how the topic relates to their lives.

Writing at Work

Using source material in your paper.

One of the challenges of writing a research paper is successfully integrating your ideas with material from your sources. Your paper must explain what you think, or it will read like a disconnected string of facts and quotations. However, you also need to support your ideas with research, or they will seem insubstantial. How do you strike the right balance?

You have already taken a step in the right direction by writing your introduction. The introduction and conclusion function like the frame around a picture. They define and limit your topic and place your research in context.

In the body paragraphs of your paper, you will need to integrate ideas carefully at the paragraph level and at the sentence level. You will use topic sentences in your paragraphs to make sure readers understand the significance of any facts, details, or quotations you cite. You will also include sentences that transition between ideas from your research, either within a paragraph or between paragraphs. At the sentence level, you will need to think carefully about how you introduce paraphrased and quoted material.

Earlier you learned about summarizing, paraphrasing, and quoting when taking notes. In the next few sections, you will learn how to use these techniques in the body of your paper to weave in source material to support your ideas.

Summarizing Sources

When you summarize material from a source, you zero in on the main points and restate them concisely in your own words. This technique is appropriate when only the major ideas are relevant to your paper or when you need to simplify complex information into a few key points for your readers.

Be sure to review the source material as you summarize it. Identify the main idea and restate it as concisely as you can—preferably in one sentence. Depending on your purpose, you may also add another sentence or two condensing any important details or examples. Check your summary to make sure it is accurate and complete.

In his draft, Jorge summarized research materials that presented scientists’ findings about low-carbohydrate diets. Read the following passage from a trade magazine article and Jorge’s summary of the article.

Trade Magazine Source

Assessing the Efficacy of Low-Carbohydrate Diets

Adrienne Howell, Ph.D.

Over the past few years, a number of clinical studies have explored whether high-protein, low-carbohydrate diets are more effective for weight loss than other frequently recommended diet plans, such as diets that drastically curtail fat intake (Pritikin) or that emphasize consuming lean meats, grains, vegetables, and a moderate amount of unsaturated fats (the Mediterranean diet). A 2009 study found that obese teenagers who followed a low-carbohydrate diet lost an average of 15.6 kilograms over a six-month period, whereas teenagers following a low-fat diet or a Mediterranean diet lost an average of 11.1 kilograms and 9.3 kilograms respectively. Two 2010 studies that measured weight loss for obese adults following these same three diet plans found similar results. Over three months, subjects on the low-carbohydrate diet plan lost anywhere from four to six kilograms more than subjects who followed other diet plans.

Jorge’s Summary with parenthetical in-text citation

A summary restates ideas in your own words—but for specialized or clinical terms, you may need to use terms that appear in the original source. For instance, Jorge used the term obese in his summary because related words such as heavy or overweight have a different clinical meaning.

Paraphrasing Sources

When you paraphrase material from a source, restate the information from an entire sentence or passage in your own words, using your own original sentence structure. A paraphrased source differs from a summarized source in that you focus on restating the ideas, not condensing them.

Again, it is important to check your paraphrase against the source material to make sure it is both accurate and original. Inexperienced writers sometimes use the thesaurus method of paraphrasing—that is, they simply rewrite the source material, replacing most of the words with synonyms. This constitutes a misuse of sources. A true paraphrase restates ideas using the writer’s own language and style.

In his draft, Jorge frequently paraphrased details from sources. At times, he needed to rewrite a sentence more than once to ensure he was paraphrasing ideas correctly. Read the passage from a website. Then read Jorge’s initial attempt at paraphrasing it, followed by the final version of his paraphrase.

Webpage Information – Research Source

Jorge’s summary.

After reviewing the paraphrased sentence, Jorge realized he was following the original source too closely. He did not want to quote the full passage verbatim, so he again attempted to restate the idea in his own style.

Jorge’s Revised Summary

On a separate sheet of paper, follow these steps to practice paraphrasing.

• Choose an important idea or detail from your notes.
• Without looking at the original source, restate the idea in your own words.
• Check your paraphrase against the original text in the source. Make sure both your language and your sentence structure are original.
• Revise your paraphrase if necessary.

Quoting Sources Directly

Most of the time, you will summarize or paraphrase source material instead of quoting directly. Doing so shows that you understand your research well enough to write about it confidently in your own words. However, direct quotes can be powerful when used sparingly and with purpose.

Quoting directly can sometimes help you make a point in a colorful way. If an author’s words are especially vivid, memorable, or well phrased, quoting them may help hold your reader’s interest. Direct quotations from an interviewee or an eyewitness may help you personalize an issue for readers. And when you analyze primary sources, such as a historical speech or a work of literature, quoting extensively is often necessary to illustrate your points. These are valid reasons to use quotations.

Less experienced writers, however, sometimes overuse direct quotations in a research paper because it seems easier than paraphrasing. At best, this reduces the effectiveness of the quotations. At worst, it results in a paper that seems haphazardly pasted together from outside sources. Use quotations sparingly for greater impact.

When you do choose to quote directly from a source, follow these guidelines:

• Make sure you have transcribed the original statement accurately.
• Represent the author’s ideas honestly. Quote enough of the original text to reflect the author’s point accurately.
• Never use a stand-alone quotation. Always integrate the quoted material into your own sentence.
• Use ellipses (…) if you need to omit a word or phrase. Use brackets [ ] if you need to replace a word or phrase.
• Make sure any omissions or changed words do not alter the meaning of the original text. Omit or replace words only when absolutely necessary to shorten the text or to make it grammatically correct within your sentence.
• Remember to include correctly formatted citations that follow the assigned style guide.

Jorge interviewed a dietician as part of his research, and he decided to quote her words in his paper. Read an excerpt from the interview and Jorge’s use of it, which follows.

Source – Interview (Personal communication)

Jorge’s summary – with narrative in-text citation.

Notice how Jorge smoothly integrated the quoted material by starting the sentence with an introductory phrase. His use of ellipses and brackets did not change the source’s meaning.

Documenting Source Material

Throughout the writing process, be scrupulous about documenting information taken from sources. The purpose of doing so is twofold:

• To give credit to other writers or researchers for their ideas
• To allow your reader to follow up and learn more about the topic if desired

You will cite sources within the body of your paper and at the end of the paper in your bibliography. For this assignment, you will use the citation format used by the American Psychological Association (also known as APA style).

Citing Sources in the Body of Your Paper

In-text citations document your sources within the body of your paper. These include two vital pieces of information: the author’s name and the year the source material was published. When quoting a print source, also include in the citation the page number where the quoted material originally appears. The page number will follow the year in the in-text citation. Page numbers are necessary only when content has been directly quoted, not when it has been summarized or paraphrased.

Within a paragraph, this information may appear as part of your introduction to the material or as a parenthetical citation at the end of a sentence. Read the examples that follow.

Jorge’s Summary with narrative in-text citation

The introduction to the source material includes the author’s name followed by the year of publication in parentheses.

The parenthetical citation at the end of the sentence includes the author’s name, a comma, and the year the source was published. The period at the end of the sentence comes after the parentheses.

Creating a List of References

Each of the sources you cite in the body text will appear in a references list at the end of your paper. While in-text citations provide the most basic information about the source, your references section will include additional publication details. In general, you will include the following information:

• The author’s last name followed by his or her first (and sometimes middle) initial
• The year the source was published
• The source title
• For articles in periodicals, the full name of the periodical, along with the volume and issue number and the pages where the article appeared

Additional information may be included for different types of sources, such as online sources.

Using Primary and Secondary Research

As you write your draft, be mindful of how you are using primary and secondary source material to support your points. Recall that primary sources present firsthand information. Secondary sources are one step removed from primary sources. They present a writer’s analysis or interpretation of primary source materials. How you balance primary and secondary source material in your paper will depend on the topic and assignment.

Using Primary Sources Effectively

Some types of research papers must use primary sources extensively to achieve their purpose. Any paper that analyzes a primary text or presents the writer’s own experimental research falls in this category. Here are a few examples:

• A paper for a literature course analyzing several poems by Emily Dickinson
• A paper for a political science course comparing televised speeches delivered by two presidential candidates
• A paper for a communications course discussing gender biases in television commercials
• A paper for a business administration course that discusses the results of a survey the writer conducted with local businesses to gather information about their work-from-home and flextime policies
• A paper for an elementary education course that discusses the results of an experiment the writer conducted to compare the effectiveness of two different methods of mathematics instruction

For these types of papers, primary research is the main focus. If you are writing about a work (including nonprint works, such as a movie or a painting), it is crucial to gather information and ideas from the original work, rather than relying solely on others’ interpretations. And, of course, if you take the time to design and conduct your own field research, such as a survey, a series of interviews, or an experiment, you will want to discuss it in detail. For example, the interviews may provide interesting responses that you want to share with your reader.

Using Secondary Sources Effectively

For some assignments, it makes sense to rely more on secondary sources than primary sources. If you are not analyzing a text or conducting your own field research, you will need to use secondary sources extensively.

As much as possible, use secondary sources that are closely linked to primary research, such as a journal article presenting the results of the authors’ scientific study or a book that cites interviews and case studies. These sources are more reliable and add more value to your paper than sources that are further removed from primary research. For instance, a popular magazine article on junk-food addiction might be several steps removed from the original scientific study on which it is loosely based. As a result, the article may distort, sensationalize, or misinterpret the scientists’ findings.

Even if your paper is largely based on primary sources, you may use secondary sources to develop your ideas. For instance, an analysis of Alfred Hitchcock’s films would focus on the films themselves as a primary source, but might also cite commentary from critics. A paper that presents an original experiment would include some discussion of similar prior research in the field.

Jorge knew he did not have the time, resources, or experience needed to conduct original experimental research for his paper. Because he was relying on secondary sources to support his ideas, he made a point of citing sources that were not far removed from primary research.

Some sources could be considered primary or secondary sources, depending on the writer’s purpose for using them. For instance, if a writer’s purpose is to inform readers about how the No Child Left Behind legislation has affected elementary education, a Time magazine article on the subject would be a secondary source. However, suppose the writer’s purpose is to analyze how the news media has portrayed the effects of the No Child Left Behind legislation. In that case, articles about the legislation in news magazines like Time, Newsweek, and US News & World Report would be primary sources. They provide firsthand examples of the media coverage the writer is analyzing.

Avoiding Plagiarism

Your research paper presents your thinking about a topic, supported and developed by other people’s ideas and information. It is crucial to always distinguish between the two—as you conduct research, as you plan your paper, and as you write. Failure to do so can lead to plagiarism.

Intentional and Accidental Plagiarism

Plagiarism is the act of misrepresenting someone else’s work as your own. Sometimes a writer plagiarizes work on purpose—for instance, by purchasing an essay from a website and submitting it as original course work. In other cases, a writer may commit accidental plagiarism due to carelessness, haste, or misunderstanding. To avoid unintentional plagiarism, follow these guidelines:

• Understand what types of information must be cited.
• Understand what constitutes fair use of a source.
• Keep source materials and notes carefully organized.
• Follow guidelines for summarizing, paraphrasing, and quoting sources.

When to Cite

Any idea or fact taken from an outside source must be cited, in both the body of your paper and the references list. The only exceptions are facts or general statements that are common knowledge. Common-knowledge facts or general statements are commonly supported by and found in multiple sources. For example, a writer would not need to cite the statement that most breads, pastas, and cereals are high in carbohydrates; this is well known and well documented. However, if a writer explained in detail the differences among the chemical structures of carbohydrates, proteins, and fats, a citation would be necessary. When in doubt, cite.

Fair Use/Fair Dealing

In recent years, issues related to the fair use (USA) and Fair Dealing (Canada) of sources have been prevalent in popular culture. Recording artists, for example, may disagree about the extent to which one has the right to sample another’s music. For academic purposes, however, the guidelines for fair use are reasonably straightforward.

Writers may quote from or paraphrase material from previously published works without formally obtaining the copyright holder’s permission. Fair use /Fair Dealing means that the writer legitimately uses brief excerpts from source material to support and develop his or her own ideas. For instance, a columnist may excerpt a few sentences from a novel when writing a book review. However, quoting or paraphrasing another’s work at excessive length, to the extent that large sections of the writing are unoriginal, is not fair use or fair dealing.

As he worked on his draft, Jorge was careful to cite his sources correctly and not to rely excessively on any one source. Occasionally, however, he caught himself quoting a source at great length. In those instances, he highlighted the paragraph in question so that he could go back to it later and revise. Read the example, along with Jorge’s revision.

Jorge’s Summary with unoriginal writing

Heinz (2009) found that “subjects in the low-carbohydrate group (30% carbohydrates; 40% protein, 30% fat) had a mean weight loss of 10 kg (22 lbs) over a 4-month period” (para. 7).  These results were “noticeably better than results for subjects on a low-fat diet (45% carbohydrates, 35% protein, 20% fat)” whose average weight loss was only “7 kg (15.4 lbs) in the same period” (Heinz, 2009, para. 8). From this, it can be concluded that “low-carbohydrate diets obtain more rapid results” (Heinz, 2009, p. 82). Other researchers agree that “at least in the short term, patients following low-carbohydrate diets enjoy greater success” than those who follow alternative plans (Johnson & Crowe, 2010, p. 25).

After reviewing the paragraph, Jorge realized that he had drifted into unoriginal writing. Most of the paragraph was taken verbatim from a single article. Although Jorge had enclosed the material in quotation marks, he knew it was not an appropriate way to use the research in his paper.

As Jorge revised the paragraph, he realized he did not need to quote these sources directly. Instead, he paraphrased their most important findings. He also made sure to include a topic sentence stating the main idea of the paragraph and a concluding sentence that transitioned to the next major topic in his essay.

Working with Sources Carefully

Disorganization and carelessness sometimes lead to plagiarism. For instance, a writer may be unable to provide a complete, accurate citation if he didn’t record bibliographical information. A writer may cut and paste a passage from a website into her paper and later forget where the material came from. A writer who procrastinates may rush through a draft, which easily leads to sloppy paraphrasing and inaccurate quotations. Any of these actions can create the appearance of plagiarism and lead to negative consequences.

Carefully organizing your time and notes is the best guard against these forms of plagiarism. Maintain a detailed working bibliography and thorough notes throughout the research process. Check original sources again to clear up any uncertainties. Allow plenty of time for writing your draft so there is no temptation to cut corners.

Academic Integrity

The concepts and strategies discussed in this section connect to a larger issue—academic integrity. You maintain your integrity as a member of an academic community by representing your work and others’ work honestly and by using other people’s work only in legitimately accepted ways. It is a point of honour taken seriously in every academic discipline and career field.

Academic integrity violations have serious educational and professional consequences. Even when cheating and plagiarism go undetected, they still result in a student’s failure to learn necessary research and writing skills. Students who are found guilty of academic integrity violations face consequences ranging from a failing grade to expulsion from the university. Employees may be fired for plagiarism and do irreparable damage to their professional reputation. In short, it is never worth the risk.

Key Takeaways

• An effective research paper focuses on the writer’s ideas. The introduction and conclusion present and revisit the writer’s thesis. The body of the paper develops the thesis and related points with information from research.
• Ideas and information taken from outside sources must be cited in the body of the paper and in the references section.
• Material taken from sources should be used to develop the writer’s ideas. Summarizing and paraphrasing are usually most effective for this purpose.
• A summary concisely restates the main ideas of a source in the writer’s own words.
• A paraphrase restates ideas from a source using the writer’s own words and sentence structures.
• Direct quotations should be used sparingly. Ellipses and brackets must be used to indicate words that were omitted or changed for conciseness or grammatical correctness.
• Always represent material from outside sources accurately.
• Plagiarism has serious academic and professional consequences. To avoid accidental plagiarism, keep research materials organized, understand guidelines for fair use and appropriate citation of sources, and review the paper to make sure these guidelines are followed.

Attributions & References

Except where otherwise noted, this chapter is adapted from ” 12.1 Creating a Rough Draft for a Research Paper ” In Writing for Success by University of Minnesota licensed under CC BY-NC 4.0 . / Small edits and updates to include “Fair Dealing” were made, adjustments to APA citation.

Communication Essentials for College Copyright © 2022 by Jen Booth, Emily Cramer & Amanda Quibell, Georgian College is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.

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How to Write a Rough Draft for a Research Paper

Before you begin to write your research paper rough draft, you have some decisions to make about format, or how your paper will look. As you write, you have to think about presenting your ideas in a way that makes sense and holds your readers’ interest. After you’ve completed your draft, make sure you’ve cited your sources completely and correctly. And the last thing you’ll need to do is decide on the very first thing readers see—the title.

Following a Research Paper Format

Punctuation.

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Many instructors tell their students exactly how their research papers should be formatted—for example, how wide the margins should be, where and how the sources should be listed, and so on. If your teacher has specified a format, be sure you have a list of the rules she or he has established—and follow them! If not, you need to decide on questions of format for yourself. Here are the main formatting issues to consider:

• Should your report be written by hand or typed in a word processing program?
• If you are handwriting, should you write on every line or every other line?
• If you are handwriting, should you use both sides or only one side of the paper?
• If you are typing, should you use single space or double space? For typing, double spacing is standard.
• If you are using a computer, what type style (font) and size should you use? (Twelve-point Times or Times New Roman is standard.)
• What size should the margins be? Margins of 1″ or 1.25″ on each side are standard.
• How long should your report be—how many pages or words?
• Should you include illustrations? Are illustrations optional?
• How should you position your heading (and should it include information other than name, class, and date)?
• Should you include a separate title page?
• Should your bibliography (a list of your sources) appear on a separate page at the end of your report? That is standard.
• Should your bibliography list your sources in alphabetical order by last name of author? That is standard.
• Where should your page numbers appear? The standard position for page numbering is the upper right corner of each page.

If you are using a computer, choose and set up your margin widths, type size and style, and spacing before writing.

Using a Proper Writing Style

Even if you haven’t finished all your research, when you have completed most of your note cards and your outline, it’s time to start writing. Drafting at this stage allows you to see what additional information you need so you can fill it in. As you begin to draft your paper, it’s time to consider your writing style.

A writer’s style is his or her distinctive way of writing. Style is a series of choices—words, sentence length and structure, figures of speech, punctuation, and so on. The style you select for your research paper depends on the following factors:

Before you begin, it is a good idea to again consider the members of your audience:Who are they? What do they know? What style of writing and language will they find most interesting or persuasive? Recognize that although members of your audience may all be of a similar background and educational level, they will not necessarily possess the same knowledge of the subject that you do. Ask yourself:

• How much of the information covered by your research is common knowledge? You want to provide sufficient explanation of unfamiliar concepts but, at the same time, not belabor the obvious.
• What questions will the reader have? Be sure you address all key questions that are essential to the reader’s understanding of your subject.
• How will your reader react to your thesis? This is especially important in a persuasive paper where your goal is to have your readers accept your thesis.
• What kind of information is needed to move your reader to a better understanding of the subject or to agree with your assessment of it? The answers to this question will provide the topics for the paragraphs in the body of your paper.
• What do you want the reader to remember most? This will be the focus of your conclusion.

The answers to these questions will give you a sense of how much background you will need to include about your subject as well as the language and tone of writing that you should use to present it.

Writers have four main purposes:

• to explain (exposition)
• to convince (persuasion)
• to describe (description)
• to tell a story (narration)

Your purpose in your research paper is to persuade or convince. As a result, you’ll select the supporting material (such as details, examples, and quotations) that will best accomplish this purpose. As you write, look for the most convincing examples, the most powerful statistics, the most compelling quotations to suit your purpose.

The tone of a piece of writing is the writer’s attitude toward his or her subject matter. For example, the tone can be angry, bitter, neutral, or formal. The tone depends on your audience and purpose. Since your research paper is being read by educated professionals and your purpose is to persuade, you will use a formal, unbiased tone. The writing won’t condescend to its audience, insult them, or lecture them.

The language used in most academic and professional writing is called “Standard Written English.” It’s the writing you find in magazines such as Newsweek, US News and World Report, and The New Yorker. Such language conforms to the widely established rules of grammar, sentence structure, usage, punctuation, and spelling. It has an objective, learned tone. It’s the language that you’ll use in your research paper.

The Basics of Research Paper Style

The following section covers the basics of research paper writing style: words, sentences, and punctuation.

Write  simply  and  directly . Perhaps you were told to use as many multisyllabic words as possible since “big” words dazzle people. Most of the time, however, big words just set up barriers between you and your audience. Instead of using words for the sake of impressing your readers, write simply and directly.

Select your words carefully to convey your thoughts vividly and precisely. For example, blissful ,  blithe ,  cheerful ,  contented ,  ecstatic ,  joyful , and  gladdened  all mean “happy”—yet each one conveys a different shade of meaning.

Use words that are  accurate ,  suitable , and  familiar :

• Accurate words say what you mean.
• Suitable words convey your tone and fit with the other words in the document.
• Familiar words are easy to read and understand.

As you write your research paper, you want words that express the importance of the subject but aren’t stuffy or overblown. Refer to yourself as I if you are involved with the subject, but always keep the focus on the subject rather than on yourself. Remember, this is academic writing, not memoir.

Avoid  slang ,  regional words , and  nonstandard diction . Below is a brief list of words that are never correct in academic writing:

• irregardless

Avoid  redundant ,  wordy  phrases. Here are some examples:

• honest truth
• past history
• fatally killed
• revert back
• live and breathe
• null and void
• most unique
• cease and desist
• proceed ahead

Always  use bias-free language . Use words and phrases that don’t discriminate on the basis of gender, physical condition, age, or race. For instance, avoid using he to refer to both men and women. Never use language that denigrates people or excludes one gender. Watch for phrases that suggest women and men behave in stereotypical ways, such as talkative women . In addition, always try to refer to a group by the term it prefers. Language changes, so stay on the cutting edge. For instance, today the term “Asian” is preferred to “Oriental.”

Effective writing uses sentences of different lengths and types to create variety and interest. Craft your sentences to express your ideas in the best possible way. Here are some guidelines:

• Mix simple, compound, complex, and compound-complex sentences for a more effective style. When your topic is complicated or full of numbers, use simple sentences to aid understanding. Use longer, more complex sentences to show how ideas are linked together and to avoid repetition.
• Select the subject of each sentence based on what you want to emphasize.
• Add adjectives and adverbs to a sentence (when suitable) for emphasis and variety.
• Repeat keywords or ideas for emphasis.
• Use the active voice, not the passive voice.
• Use transitions to link ideas.

Similarly, successful research papers are free of technical errors. Here are some guidelines to review:

• Remember that a period shows a full separation between ideas. For example:  The car was in the shop for repair on Friday. I had no transportation to work.
• A comma and a coordinating conjunction (for, and, but, or, yet, so, nor) show the relationships of addition, choice, consequence, contrast, or cause. For example: 1) The car was in the shop for repair on Friday, so I had no transportation to work . 2) The car was in the shop for repair on Friday, but I still made it to work . 3)  The car was in the shop for repair on Friday, yet I still made it to work .
• A semicolon shows the second sentence completes the content of the first sentence. The semicolon suggests a link but leaves to the reader to make the connection. For example:  The car was in the shop for repair on Friday; I didn’t make it to work .
• A semicolon and a conjunctive adverb (such as nevertheless and however) show the relationship between ideas: addition, consequence, contrast, cause and effect, time, emphasis, or addition. For example:  The car was in the shop for repair on Friday; however, I made it to work anyway .
• Using a period between sentences forces a pause and then stresses the conjunctive adverb. For example:  The car was in the shop for repair on Friday. But I still made it to work .

Even if you do run a grammar check, be sure to check and double-check your punctuation and grammar as you draft your research paper.

Back to How To Write A Research Paper .

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• How to write a research paper

Last updated

11 January 2024

Reviewed by

With proper planning, knowledge, and framework, completing a research paper can be a fulfilling and exciting experience. 

Though it might initially sound slightly intimidating, this guide will help you embrace the challenge. 

By documenting your findings, you can inspire others and make a difference in your field. Here's how you can make your research paper unique and comprehensive.

• What is a research paper?

Research papers allow you to demonstrate your knowledge and understanding of a particular topic. These papers are usually lengthier and more detailed than typical essays, requiring deeper insight into the chosen topic.

To write a research paper, you must first choose a topic that interests you and is relevant to the field of study. Once you’ve selected your topic, gathering as many relevant resources as possible, including books, scholarly articles, credible websites, and other academic materials, is essential. You must then read and analyze these sources, summarizing their key points and identifying gaps in the current research.

You can formulate your ideas and opinions once you thoroughly understand the existing research. To get there might involve conducting original research, gathering data, or analyzing existing data sets. It could also involve presenting an original argument or interpretation of the existing research.

Writing a successful research paper involves presenting your findings clearly and engagingly, which might involve using charts, graphs, or other visual aids to present your data and using concise language to explain your findings. You must also ensure your paper adheres to relevant academic formatting guidelines, including proper citations and references.

Overall, writing a research paper requires a significant amount of time, effort, and attention to detail. However, it is also an enriching experience that allows you to delve deeply into a subject that interests you and contribute to the existing body of knowledge in your chosen field.

• How long should a research paper be?

Research papers are deep dives into a topic. Therefore, they tend to be longer pieces of work than essays or opinion pieces. 

However, a suitable length depends on the complexity of the topic and your level of expertise. For instance, are you a first-year college student or an experienced professional? 

Also, remember that the best research papers provide valuable information for the benefit of others. Therefore, the quality of information matters most, not necessarily the length. Being concise is valuable.

Following these best practice steps will help keep your process simple and productive:

1. Gaining a deep understanding of any expectations

Before diving into your intended topic or beginning the research phase, take some time to orient yourself. Suppose there’s a specific topic assigned to you. In that case, it’s essential to deeply understand the question and organize your planning and approach in response. Pay attention to the key requirements and ensure you align your writing accordingly. 

This preparation step entails

Deeply understanding the task or assignment

Being clear about the expected format and length

Familiarizing yourself with the citation and referencing requirements 

Understanding any defined limits for your research contribution

Where applicable, speaking to your professor or research supervisor for further clarification

2. Choose your research topic

Select a research topic that aligns with both your interests and available resources. Ideally, focus on a field where you possess significant experience and analytical skills. In crafting your research paper, it's crucial to go beyond summarizing existing data and contribute fresh insights to the chosen area.

Consider narrowing your focus to a specific aspect of the topic. For example, if exploring the link between technology and mental health, delve into how social media use during the pandemic impacts the well-being of college students. Conducting interviews and surveys with students could provide firsthand data and unique perspectives, adding substantial value to the existing knowledge.

When finalizing your topic, adhere to legal and ethical norms in the relevant area (this ensures the integrity of your research, protects participants' rights, upholds intellectual property standards, and ensures transparency and accountability). Following these principles not only maintains the credibility of your work but also builds trust within your academic or professional community.

For instance, in writing about medical research, consider legal and ethical norms, including patient confidentiality laws and informed consent requirements. Similarly, if analyzing user data on social media platforms, be mindful of data privacy regulations, ensuring compliance with laws governing personal information collection and use. Aligning with legal and ethical standards not only avoids potential issues but also underscores the responsible conduct of your research.

3. Gather preliminary research

Once you’ve landed on your topic, it’s time to explore it further. You’ll want to discover more about available resources and existing research relevant to your assignment at this stage. 

This exploratory phase is vital as you may discover issues with your original idea or realize you have insufficient resources to explore the topic effectively. This key bit of groundwork allows you to redirect your research topic in a different, more feasible, or more relevant direction if necessary. 

Spending ample time at this stage ensures you gather everything you need, learn as much as you can about the topic, and discover gaps where the topic has yet to be sufficiently covered, offering an opportunity to research it further. 

4. Define your research question

To produce a well-structured and focused paper, it is imperative to formulate a clear and precise research question that will guide your work. Your research question must be informed by the existing literature and tailored to the scope and objectives of your project. By refining your focus, you can produce a thoughtful and engaging paper that effectively communicates your ideas to your readers.

5. Write a thesis statement

A thesis statement is a one-to-two-sentence summary of your research paper's main argument or direction. It serves as an overall guide to summarize the overall intent of the research paper for you and anyone wanting to know more about the research.

A strong thesis statement is:

Concise and clear: Explain your case in simple sentences (avoid covering multiple ideas). It might help to think of this section as an elevator pitch.

Specific: Ensure that there is no ambiguity in your statement and that your summary covers the points argued in the paper.

Debatable: A thesis statement puts forward a specific argument––it is not merely a statement but a debatable point that can be analyzed and discussed.

Here are three thesis statement examples from different disciplines:

Psychology thesis example: "We're studying adults aged 25-40 to see if taking short breaks for mindfulness can help with stress. Our goal is to find practical ways to manage anxiety better."

Environmental science thesis example: "This research paper looks into how having more city parks might make the air cleaner and keep people healthier. I want to find out if more green spaces means breathing fewer carcinogens in big cities."

UX research thesis example: "This study focuses on improving mobile banking for older adults using ethnographic research, eye-tracking analysis, and interactive prototyping. We investigate the usefulness of eye-tracking analysis with older individuals, aiming to spark debate and offer fresh perspectives on UX design and digital inclusivity for the aging population."

6. Conduct in-depth research

A research paper doesn’t just include research that you’ve uncovered from other papers and studies but your fresh insights, too. You will seek to become an expert on your topic––understanding the nuances in the current leading theories. You will analyze existing research and add your thinking and discoveries.  It's crucial to conduct well-designed research that is rigorous, robust, and based on reliable sources. Suppose a research paper lacks evidence or is biased. In that case, it won't benefit the academic community or the general public. Therefore, examining the topic thoroughly and furthering its understanding through high-quality research is essential. That usually means conducting new research. Depending on the area under investigation, you may conduct surveys, interviews, diary studies, or observational research to uncover new insights or bolster current claims.

7. Determine supporting evidence

Not every piece of research you’ve discovered will be relevant to your research paper. It’s important to categorize the most meaningful evidence to include alongside your discoveries. It's important to include evidence that doesn't support your claims to avoid exclusion bias and ensure a fair research paper.

8. Write a research paper outline

Before diving in and writing the whole paper, start with an outline. It will help you to see if more research is needed, and it will provide a framework by which to write a more compelling paper. Your supervisor may even request an outline to approve before beginning to write the first draft of the full paper. An outline will include your topic, thesis statement, key headings, short summaries of the research, and your arguments.

9. Write your first draft

Once you feel confident about your outline and sources, it’s time to write your first draft. While penning a long piece of content can be intimidating, if you’ve laid the groundwork, you will have a structure to help you move steadily through each section. To keep up motivation and inspiration, it’s often best to keep the pace quick. Stopping for long periods can interrupt your flow and make jumping back in harder than writing when things are fresh in your mind.

10. Cite your sources correctly

It's always a good practice to give credit where it's due, and the same goes for citing any works that have influenced your paper. Building your arguments on credible references adds value and authenticity to your research. In the formatting guidelines section, you’ll find an overview of different citation styles (MLA, CMOS, or APA), which will help you meet any publishing or academic requirements and strengthen your paper's credibility. It is essential to follow the guidelines provided by your school or the publication you are submitting to ensure the accuracy and relevance of your citations.

11. Ensure your work is original

It is crucial to ensure the originality of your paper, as plagiarism can lead to serious consequences. To avoid plagiarism, you should use proper paraphrasing and quoting techniques. Paraphrasing is rewriting a text in your own words while maintaining the original meaning. Quoting involves directly citing the source. Giving credit to the original author or source is essential whenever you borrow their ideas or words. You can also use plagiarism detection tools such as Scribbr or Grammarly to check the originality of your paper. These tools compare your draft writing to a vast database of online sources. If you find any accidental plagiarism, you should correct it immediately by rephrasing or citing the source.

12. Revise, edit, and proofread

One of the essential qualities of excellent writers is their ability to understand the importance of editing and proofreading. Even though it's tempting to call it a day once you've finished your writing, editing your work can significantly improve its quality. It's natural to overlook the weaker areas when you've just finished writing a paper. Therefore, it's best to take a break of a day or two, or even up to a week, to refresh your mind. This way, you can return to your work with a new perspective. After some breathing room, you can spot any inconsistencies, spelling and grammar errors, typos, or missing citations and correct them. 

• The best research paper format 

The format of your research paper should align with the requirements set forth by your college, school, or target publication. 

There is no one “best” format, per se. Depending on the stated requirements, you may need to include the following elements:

Title page: The title page of a research paper typically includes the title, author's name, and institutional affiliation and may include additional information such as a course name or instructor's name. 

Table of contents: Include a table of contents to make it easy for readers to find specific sections of your paper.

Abstract: The abstract is a summary of the purpose of the paper.

Methods : In this section, describe the research methods used. This may include collecting data, conducting interviews, or doing field research.

Results: Summarize the conclusions you drew from your research in this section.

Discussion: In this section, discuss the implications of your research. Be sure to mention any significant limitations to your approach and suggest areas for further research.

Tables, charts, and illustrations: Use tables, charts, and illustrations to help convey your research findings and make them easier to understand.

Works cited or reference page: Include a works cited or reference page to give credit to the sources that you used to conduct your research.

Bibliography: Provide a list of all the sources you consulted while conducting your research.

Dedication and acknowledgments : Optionally, you may include a dedication and acknowledgments section to thank individuals who helped you with your research.

• General style and formatting guidelines

Formatting your research paper means you can submit it to your college, journal, or other publications in compliance with their criteria.

Research papers tend to follow the American Psychological Association (APA), Modern Language Association (MLA), or Chicago Manual of Style (CMOS) guidelines.

Here’s how each style guide is typically used:

Chicago Manual of Style (CMOS):

CMOS is a versatile style guide used for various types of writing. It's known for its flexibility and use in the humanities. CMOS provides guidelines for citations, formatting, and overall writing style. It allows for both footnotes and in-text citations, giving writers options based on their preferences or publication requirements.

American Psychological Association (APA):

APA is common in the social sciences. It’s hailed for its clarity and emphasis on precision. It has specific rules for citing sources, creating references, and formatting papers. APA style uses in-text citations with an accompanying reference list. It's designed to convey information efficiently and is widely used in academic and scientific writing.

Modern Language Association (MLA):

MLA is widely used in the humanities, especially literature and language studies. It emphasizes the author-page format for in-text citations and provides guidelines for creating a "Works Cited" page. MLA is known for its focus on the author's name and the literary works cited. It’s frequently used in disciplines that prioritize literary analysis and critical thinking.

To confirm you're using the latest style guide, check the official website or publisher's site for updates, consult academic resources, and verify the guide's publication date. Online platforms and educational resources may also provide summaries and alerts about any revisions or additions to the style guide.

Citing sources

When working on your research paper, it's important to cite the sources you used properly. Your citation style will guide you through this process. Generally, there are three parts to citing sources in your research paper: 

First, provide a brief citation in the body of your essay. This is also known as a parenthetical or in-text citation. 

Second, include a full citation in the Reference list at the end of your paper. Different types of citations include in-text citations, footnotes, and reference lists. 

In-text citations include the author's surname and the date of the citation. 

Footnotes appear at the bottom of each page of your research paper. They may also be summarized within a reference list at the end of the paper. 

A reference list includes all of the research used within the paper at the end of the document. It should include the author, date, paper title, and publisher listed in the order that aligns with your citation style.

10 research paper writing tips:

Following some best practices is essential to writing a research paper that contributes to your field of study and creates a positive impact.

These tactics will help you structure your argument effectively and ensure your work benefits others:

Clear and precise language:  Ensure your language is unambiguous. Use academic language appropriately, but keep it simple. Also, provide clear takeaways for your audience.

Effective idea separation:  Organize the vast amount of information and sources in your paper with paragraphs and titles. Create easily digestible sections for your readers to navigate through.

Compelling intro:  Craft an engaging introduction that captures your reader's interest. Hook your audience and motivate them to continue reading.

Thorough revision and editing:  Take the time to review and edit your paper comprehensively. Use tools like Grammarly to detect and correct small, overlooked errors.

Thesis precision:  Develop a clear and concise thesis statement that guides your paper. Ensure that your thesis aligns with your research's overall purpose and contribution.

Logical flow of ideas:  Maintain a logical progression throughout the paper. Use transitions effectively to connect different sections and maintain coherence.

Critical evaluation of sources:  Evaluate and critically assess the relevance and reliability of your sources. Ensure that your research is based on credible and up-to-date information.

Thematic consistency:  Maintain a consistent theme throughout the paper. Ensure that all sections contribute cohesively to the overall argument.

Relevant supporting evidence:  Provide concise and relevant evidence to support your arguments. Avoid unnecessary details that may distract from the main points.

Embrace counterarguments:  Acknowledge and address opposing views to strengthen your position. Show that you have considered alternative arguments in your field.

7 research tips 

If you want your paper to not only be well-written but also contribute to the progress of human knowledge, consider these tips to take your paper to the next level:

Selecting the appropriate topic: The topic you select should align with your area of expertise, comply with the requirements of your project, and have sufficient resources for a comprehensive investigation.

Use academic databases: Academic databases such as PubMed, Google Scholar, and JSTOR offer a wealth of research papers that can help you discover everything you need to know about your chosen topic.

Critically evaluate sources: It is important not to accept research findings at face value. Instead, it is crucial to critically analyze the information to avoid jumping to conclusions or overlooking important details. A well-written research paper requires a critical analysis with thorough reasoning to support claims.

Diversify your sources: Expand your research horizons by exploring a variety of sources beyond the standard databases. Utilize books, conference proceedings, and interviews to gather diverse perspectives and enrich your understanding of the topic.

Take detailed notes: Detailed note-taking is crucial during research and can help you form the outline and body of your paper.

Stay up on trends: Keep abreast of the latest developments in your field by regularly checking for recent publications. Subscribe to newsletters, follow relevant journals, and attend conferences to stay informed about emerging trends and advancements. 

Engage in peer review: Seek feedback from peers or mentors to ensure the rigor and validity of your research. Peer review helps identify potential weaknesses in your methodology and strengthens the overall credibility of your findings.

• The real-world impact of research papers

Writing a research paper is more than an academic or business exercise. The experience provides an opportunity to explore a subject in-depth, broaden one's understanding, and arrive at meaningful conclusions. With careful planning, dedication, and hard work, writing a research paper can be a fulfilling and enriching experience contributing to advancing knowledge.

How do I publish my research paper? 

Many academics wish to publish their research papers. While challenging, your paper might get traction if it covers new and well-written information. To publish your research paper, find a target publication, thoroughly read their guidelines, format your paper accordingly, and send it to them per their instructions. You may need to include a cover letter, too. After submission, your paper may be peer-reviewed by experts to assess its legitimacy, quality, originality, and methodology. Following review, you will be informed by the publication whether they have accepted or rejected your paper. 

What is a good opening sentence for a research paper? 

Beginning your research paper with a compelling introduction can ensure readers are interested in going further. A relevant quote, a compelling statistic, or a bold argument can start the paper and hook your reader. Remember, though, that the most important aspect of a research paper is the quality of the information––not necessarily your ability to storytell, so ensure anything you write aligns with your goals.

Research paper vs. a research proposal—what’s the difference?

While some may confuse research papers and proposals, they are different documents. 

A research proposal comes before a research paper. It is a detailed document that outlines an intended area of exploration. It includes the research topic, methodology, timeline, sources, and potential conclusions. Research proposals are often required when seeking approval to conduct research. 

A research paper is a summary of research findings. A research paper follows a structured format to present those findings and construct an argument or conclusion.

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Purdue Online Writing Lab Purdue OWL® College of Liberal Arts

Writing a Research Paper

Welcome to the Purdue OWL

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Copyright ©1995-2018 by The Writing Lab & The OWL at Purdue and Purdue University. All rights reserved. This material may not be published, reproduced, broadcast, rewritten, or redistributed without permission. Use of this site constitutes acceptance of our terms and conditions of fair use.

The pages in this section provide detailed information about how to write research papers including discussing research papers as a genre, choosing topics, and finding sources.

The Research Paper

There will come a time in most students' careers when they are assigned a research paper. Such an assignment often creates a great deal of unneeded anxiety in the student, which may result in procrastination and a feeling of confusion and inadequacy. This anxiety frequently stems from the fact that many students are unfamiliar and inexperienced with this genre of writing. Never fear—inexperience and unfamiliarity are situations you can change through practice! Writing a research paper is an essential aspect of academics and should not be avoided on account of one's anxiety. In fact, the process of writing a research paper can be one of the more rewarding experiences one may encounter in academics. What is more, many students will continue to do research throughout their careers, which is one of the reasons this topic is so important.

Becoming an experienced researcher and writer in any field or discipline takes a great deal of practice. There are few individuals for whom this process comes naturally. Remember, even the most seasoned academic veterans have had to learn how to write a research paper at some point in their career. Therefore, with diligence, organization, practice, a willingness to learn (and to make mistakes!), and, perhaps most important of all, patience, students will find that they can achieve great things through their research and writing.

The pages in this section cover the following topic areas related to the process of writing a research paper:

• Genre - This section will provide an overview for understanding the difference between an analytical and argumentative research paper.
• Choosing a Topic - This section will guide the student through the process of choosing topics, whether the topic be one that is assigned or one that the student chooses themselves.
• Identifying an Audience - This section will help the student understand the often times confusing topic of audience by offering some basic guidelines for the process.
• Where Do I Begin - This section concludes the handout by offering several links to resources at Purdue, and also provides an overview of the final stages of writing a research paper.

How to Write a Research Paper

• Step 1. Choose a Topic
• Step 2. Start Brainstorming
• Step 3. Start Your (Initial) Research
• Step 4. Narrow Your Topic
• Step 5. Research, Research, Research!
• Step 6. Write an Outline
• Step 7. Citations & References
• Step 8. Annotated Bibliography (optional?)
• Step 9. Write a Rough Draft
• Step 10. Edit
• Step 11. Rewrite (Repeatable)
• Step 12. Final Draft
• Additional Sites
• Citing Sources [opens a new window] This link opens in a new window

Need assistance? Get in touch!

Email: [email protected]

Phone: 931-540-2560

Write a Rough Draft

Many students hear "rough draft" and they think "final draft." Let me assure you, this is not a good idea. A rough draft is you putting ideas to paper in a semi-logical order that might actually get a D.

A rough draft gives you the opportunity to screw up and fix it before you hand in a paper that sucks. Take that opportunity. The fact that your paper sucks at this point is a good thing. It puts less pressure on you, and you can just let ideas flow. Use it to make your paper better. This means yes, you will actually have to write a rough draft .

But instead of being upset about it, use it as a springboard to a better paper. The rough draft could show you where some holes exist in your research. Just because you're writing a rough draft doesn't mean you're done researching !

• << Previous: Step 8. Annotated Bibliography (optional?)
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• Last Updated: Dec 7, 2023 11:04 AM
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Home » Research Paper – Structure, Examples and Writing Guide

Research Paper – Structure, Examples and Writing Guide

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Research Paper

Definition:

Research Paper is a written document that presents the author’s original research, analysis, and interpretation of a specific topic or issue.

It is typically based on Empirical Evidence, and may involve qualitative or quantitative research methods, or a combination of both. The purpose of a research paper is to contribute new knowledge or insights to a particular field of study, and to demonstrate the author’s understanding of the existing literature and theories related to the topic.

Structure of Research Paper

The structure of a research paper typically follows a standard format, consisting of several sections that convey specific information about the research study. The following is a detailed explanation of the structure of a research paper:

The title page contains the title of the paper, the name(s) of the author(s), and the affiliation(s) of the author(s). It also includes the date of submission and possibly, the name of the journal or conference where the paper is to be published.

The abstract is a brief summary of the research paper, typically ranging from 100 to 250 words. It should include the research question, the methods used, the key findings, and the implications of the results. The abstract should be written in a concise and clear manner to allow readers to quickly grasp the essence of the research.

Introduction

The introduction section of a research paper provides background information about the research problem, the research question, and the research objectives. It also outlines the significance of the research, the research gap that it aims to fill, and the approach taken to address the research question. Finally, the introduction section ends with a clear statement of the research hypothesis or research question.

Literature Review

The literature review section of a research paper provides an overview of the existing literature on the topic of study. It includes a critical analysis and synthesis of the literature, highlighting the key concepts, themes, and debates. The literature review should also demonstrate the research gap and how the current study seeks to address it.

The methods section of a research paper describes the research design, the sample selection, the data collection and analysis procedures, and the statistical methods used to analyze the data. This section should provide sufficient detail for other researchers to replicate the study.

The results section presents the findings of the research, using tables, graphs, and figures to illustrate the data. The findings should be presented in a clear and concise manner, with reference to the research question and hypothesis.

The discussion section of a research paper interprets the findings and discusses their implications for the research question, the literature review, and the field of study. It should also address the limitations of the study and suggest future research directions.

The conclusion section summarizes the main findings of the study, restates the research question and hypothesis, and provides a final reflection on the significance of the research.

The references section provides a list of all the sources cited in the paper, following a specific citation style such as APA, MLA or Chicago.

How to Write Research Paper

You can write Research Paper by the following guide:

• Choose a Topic: The first step is to select a topic that interests you and is relevant to your field of study. Brainstorm ideas and narrow down to a research question that is specific and researchable.
• Conduct a Literature Review: The literature review helps you identify the gap in the existing research and provides a basis for your research question. It also helps you to develop a theoretical framework and research hypothesis.
• Develop a Thesis Statement : The thesis statement is the main argument of your research paper. It should be clear, concise and specific to your research question.
• Plan your Research: Develop a research plan that outlines the methods, data sources, and data analysis procedures. This will help you to collect and analyze data effectively.
• Collect and Analyze Data: Collect data using various methods such as surveys, interviews, observations, or experiments. Analyze data using statistical tools or other qualitative methods.
• Organize your Paper : Organize your paper into sections such as Introduction, Literature Review, Methods, Results, Discussion, and Conclusion. Ensure that each section is coherent and follows a logical flow.
• Write your Paper : Start by writing the introduction, followed by the literature review, methods, results, discussion, and conclusion. Ensure that your writing is clear, concise, and follows the required formatting and citation styles.
• Edit and Proofread your Paper: Review your paper for grammar and spelling errors, and ensure that it is well-structured and easy to read. Ask someone else to review your paper to get feedback and suggestions for improvement.
• Cite your Sources: Ensure that you properly cite all sources used in your research paper. This is essential for giving credit to the original authors and avoiding plagiarism.

Research Paper Example

Note : The below example research paper is for illustrative purposes only and is not an actual research paper. Actual research papers may have different structures, contents, and formats depending on the field of study, research question, data collection and analysis methods, and other factors. Students should always consult with their professors or supervisors for specific guidelines and expectations for their research papers.

Research Paper Example sample for Students:

Title: The Impact of Social Media on Mental Health among Young Adults

Abstract: This study aims to investigate the impact of social media use on the mental health of young adults. A literature review was conducted to examine the existing research on the topic. A survey was then administered to 200 university students to collect data on their social media use, mental health status, and perceived impact of social media on their mental health. The results showed that social media use is positively associated with depression, anxiety, and stress. The study also found that social comparison, cyberbullying, and FOMO (Fear of Missing Out) are significant predictors of mental health problems among young adults.

Introduction: Social media has become an integral part of modern life, particularly among young adults. While social media has many benefits, including increased communication and social connectivity, it has also been associated with negative outcomes, such as addiction, cyberbullying, and mental health problems. This study aims to investigate the impact of social media use on the mental health of young adults.

Literature Review: The literature review highlights the existing research on the impact of social media use on mental health. The review shows that social media use is associated with depression, anxiety, stress, and other mental health problems. The review also identifies the factors that contribute to the negative impact of social media, including social comparison, cyberbullying, and FOMO.

Methods : A survey was administered to 200 university students to collect data on their social media use, mental health status, and perceived impact of social media on their mental health. The survey included questions on social media use, mental health status (measured using the DASS-21), and perceived impact of social media on their mental health. Data were analyzed using descriptive statistics and regression analysis.

Results : The results showed that social media use is positively associated with depression, anxiety, and stress. The study also found that social comparison, cyberbullying, and FOMO are significant predictors of mental health problems among young adults.

Discussion : The study’s findings suggest that social media use has a negative impact on the mental health of young adults. The study highlights the need for interventions that address the factors contributing to the negative impact of social media, such as social comparison, cyberbullying, and FOMO.

Conclusion : In conclusion, social media use has a significant impact on the mental health of young adults. The study’s findings underscore the need for interventions that promote healthy social media use and address the negative outcomes associated with social media use. Future research can explore the effectiveness of interventions aimed at reducing the negative impact of social media on mental health. Additionally, longitudinal studies can investigate the long-term effects of social media use on mental health.

Limitations : The study has some limitations, including the use of self-report measures and a cross-sectional design. The use of self-report measures may result in biased responses, and a cross-sectional design limits the ability to establish causality.

Implications: The study’s findings have implications for mental health professionals, educators, and policymakers. Mental health professionals can use the findings to develop interventions that address the negative impact of social media use on mental health. Educators can incorporate social media literacy into their curriculum to promote healthy social media use among young adults. Policymakers can use the findings to develop policies that protect young adults from the negative outcomes associated with social media use.

References :

• Twenge, J. M., & Campbell, W. K. (2019). Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study. Preventive medicine reports, 15, 100918.
• Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., … & James, A. E. (2017). Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among US young adults. Computers in Human Behavior, 69, 1-9.
• Van der Meer, T. G., & Verhoeven, J. W. (2017). Social media and its impact on academic performance of students. Journal of Information Technology Education: Research, 16, 383-398.

Appendix : The survey used in this study is provided below.

Social Media and Mental Health Survey

• How often do you use social media per day?
• Less than 30 minutes
• 30 minutes to 1 hour
• 1 to 2 hours
• 2 to 4 hours
• More than 4 hours
• Which social media platforms do you use?
• Others (Please specify)
• How often do you experience the following on social media?
• Social comparison (comparing yourself to others)
• Cyberbullying
• Fear of Missing Out (FOMO)
• Have you ever experienced any of the following mental health problems in the past month?
• Do you think social media use has a positive or negative impact on your mental health?
• Very positive
• Somewhat positive
• Somewhat negative
• Very negative
• In your opinion, which factors contribute to the negative impact of social media on mental health?
• Social comparison
• In your opinion, what interventions could be effective in reducing the negative impact of social media on mental health?
• Education on healthy social media use
• Counseling for mental health problems caused by social media
• Social media detox programs
• Regulation of social media use

Thank you for your participation!

Applications of Research Paper

Research papers have several applications in various fields, including:

• Advancing knowledge: Research papers contribute to the advancement of knowledge by generating new insights, theories, and findings that can inform future research and practice. They help to answer important questions, clarify existing knowledge, and identify areas that require further investigation.
• Informing policy: Research papers can inform policy decisions by providing evidence-based recommendations for policymakers. They can help to identify gaps in current policies, evaluate the effectiveness of interventions, and inform the development of new policies and regulations.
• Improving practice: Research papers can improve practice by providing evidence-based guidance for professionals in various fields, including medicine, education, business, and psychology. They can inform the development of best practices, guidelines, and standards of care that can improve outcomes for individuals and organizations.
• Educating students : Research papers are often used as teaching tools in universities and colleges to educate students about research methods, data analysis, and academic writing. They help students to develop critical thinking skills, research skills, and communication skills that are essential for success in many careers.
• Fostering collaboration: Research papers can foster collaboration among researchers, practitioners, and policymakers by providing a platform for sharing knowledge and ideas. They can facilitate interdisciplinary collaborations and partnerships that can lead to innovative solutions to complex problems.

When to Write Research Paper

Research papers are typically written when a person has completed a research project or when they have conducted a study and have obtained data or findings that they want to share with the academic or professional community. Research papers are usually written in academic settings, such as universities, but they can also be written in professional settings, such as research organizations, government agencies, or private companies.

Here are some common situations where a person might need to write a research paper:

• For academic purposes: Students in universities and colleges are often required to write research papers as part of their coursework, particularly in the social sciences, natural sciences, and humanities. Writing research papers helps students to develop research skills, critical thinking skills, and academic writing skills.
• For publication: Researchers often write research papers to publish their findings in academic journals or to present their work at academic conferences. Publishing research papers is an important way to disseminate research findings to the academic community and to establish oneself as an expert in a particular field.
• To inform policy or practice : Researchers may write research papers to inform policy decisions or to improve practice in various fields. Research findings can be used to inform the development of policies, guidelines, and best practices that can improve outcomes for individuals and organizations.
• To share new insights or ideas: Researchers may write research papers to share new insights or ideas with the academic or professional community. They may present new theories, propose new research methods, or challenge existing paradigms in their field.

Purpose of Research Paper

The purpose of a research paper is to present the results of a study or investigation in a clear, concise, and structured manner. Research papers are written to communicate new knowledge, ideas, or findings to a specific audience, such as researchers, scholars, practitioners, or policymakers. The primary purposes of a research paper are:

• To contribute to the body of knowledge : Research papers aim to add new knowledge or insights to a particular field or discipline. They do this by reporting the results of empirical studies, reviewing and synthesizing existing literature, proposing new theories, or providing new perspectives on a topic.
• To inform or persuade: Research papers are written to inform or persuade the reader about a particular issue, topic, or phenomenon. They present evidence and arguments to support their claims and seek to persuade the reader of the validity of their findings or recommendations.
• To advance the field: Research papers seek to advance the field or discipline by identifying gaps in knowledge, proposing new research questions or approaches, or challenging existing assumptions or paradigms. They aim to contribute to ongoing debates and discussions within a field and to stimulate further research and inquiry.
• To demonstrate research skills: Research papers demonstrate the author’s research skills, including their ability to design and conduct a study, collect and analyze data, and interpret and communicate findings. They also demonstrate the author’s ability to critically evaluate existing literature, synthesize information from multiple sources, and write in a clear and structured manner.

Characteristics of Research Paper

Research papers have several characteristics that distinguish them from other forms of academic or professional writing. Here are some common characteristics of research papers:

• Evidence-based: Research papers are based on empirical evidence, which is collected through rigorous research methods such as experiments, surveys, observations, or interviews. They rely on objective data and facts to support their claims and conclusions.
• Structured and organized: Research papers have a clear and logical structure, with sections such as introduction, literature review, methods, results, discussion, and conclusion. They are organized in a way that helps the reader to follow the argument and understand the findings.
• Formal and objective: Research papers are written in a formal and objective tone, with an emphasis on clarity, precision, and accuracy. They avoid subjective language or personal opinions and instead rely on objective data and analysis to support their arguments.
• Citations and references: Research papers include citations and references to acknowledge the sources of information and ideas used in the paper. They use a specific citation style, such as APA, MLA, or Chicago, to ensure consistency and accuracy.
• Peer-reviewed: Research papers are often peer-reviewed, which means they are evaluated by other experts in the field before they are published. Peer-review ensures that the research is of high quality, meets ethical standards, and contributes to the advancement of knowledge in the field.
• Objective and unbiased: Research papers strive to be objective and unbiased in their presentation of the findings. They avoid personal biases or preconceptions and instead rely on the data and analysis to draw conclusions.

Advantages of Research Paper

Research papers have many advantages, both for the individual researcher and for the broader academic and professional community. Here are some advantages of research papers:

• Contribution to knowledge: Research papers contribute to the body of knowledge in a particular field or discipline. They add new information, insights, and perspectives to existing literature and help advance the understanding of a particular phenomenon or issue.
• Opportunity for intellectual growth: Research papers provide an opportunity for intellectual growth for the researcher. They require critical thinking, problem-solving, and creativity, which can help develop the researcher’s skills and knowledge.
• Career advancement: Research papers can help advance the researcher’s career by demonstrating their expertise and contributions to the field. They can also lead to new research opportunities, collaborations, and funding.
• Academic recognition: Research papers can lead to academic recognition in the form of awards, grants, or invitations to speak at conferences or events. They can also contribute to the researcher’s reputation and standing in the field.
• Impact on policy and practice: Research papers can have a significant impact on policy and practice. They can inform policy decisions, guide practice, and lead to changes in laws, regulations, or procedures.
• Advancement of society: Research papers can contribute to the advancement of society by addressing important issues, identifying solutions to problems, and promoting social justice and equality.

Limitations of Research Paper

Research papers also have some limitations that should be considered when interpreting their findings or implications. Here are some common limitations of research papers:

• Limited generalizability: Research findings may not be generalizable to other populations, settings, or contexts. Studies often use specific samples or conditions that may not reflect the broader population or real-world situations.
• Potential for bias : Research papers may be biased due to factors such as sample selection, measurement errors, or researcher biases. It is important to evaluate the quality of the research design and methods used to ensure that the findings are valid and reliable.
• Ethical concerns: Research papers may raise ethical concerns, such as the use of vulnerable populations or invasive procedures. Researchers must adhere to ethical guidelines and obtain informed consent from participants to ensure that the research is conducted in a responsible and respectful manner.
• Limitations of methodology: Research papers may be limited by the methodology used to collect and analyze data. For example, certain research methods may not capture the complexity or nuance of a particular phenomenon, or may not be appropriate for certain research questions.
• Publication bias: Research papers may be subject to publication bias, where positive or significant findings are more likely to be published than negative or non-significant findings. This can skew the overall findings of a particular area of research.
• Time and resource constraints: Research papers may be limited by time and resource constraints, which can affect the quality and scope of the research. Researchers may not have access to certain data or resources, or may be unable to conduct long-term studies due to practical limitations.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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13.1 Formatting a Research Paper

Learning objectives.

• Identify the major components of a research paper written using American Psychological Association (APA) style.
• Apply general APA style and formatting conventions in a research paper.

In this chapter, you will learn how to use APA style , the documentation and formatting style followed by the American Psychological Association, as well as MLA style , from the Modern Language Association. There are a few major formatting styles used in academic texts, including AMA, Chicago, and Turabian:

• AMA (American Medical Association) for medicine, health, and biological sciences
• APA (American Psychological Association) for education, psychology, and the social sciences
• Chicago—a common style used in everyday publications like magazines, newspapers, and books
• MLA (Modern Language Association) for English, literature, arts, and humanities
• Turabian—another common style designed for its universal application across all subjects and disciplines

While all the formatting and citation styles have their own use and applications, in this chapter we focus our attention on the two styles you are most likely to use in your academic studies: APA and MLA.

If you find that the rules of proper source documentation are difficult to keep straight, you are not alone. Writing a good research paper is, in and of itself, a major intellectual challenge. Having to follow detailed citation and formatting guidelines as well may seem like just one more task to add to an already-too-long list of requirements.

Following these guidelines, however, serves several important purposes. First, it signals to your readers that your paper should be taken seriously as a student’s contribution to a given academic or professional field; it is the literary equivalent of wearing a tailored suit to a job interview. Second, it shows that you respect other people’s work enough to give them proper credit for it. Finally, it helps your reader find additional materials if he or she wishes to learn more about your topic.

Furthermore, producing a letter-perfect APA-style paper need not be burdensome. Yes, it requires careful attention to detail. However, you can simplify the process if you keep these broad guidelines in mind:

• Work ahead whenever you can. Chapter 11 “Writing from Research: What Will I Learn?” includes tips for keeping track of your sources early in the research process, which will save time later on.
• Get it right the first time. Apply APA guidelines as you write, so you will not have much to correct during the editing stage. Again, putting in a little extra time early on can save time later.
• Use the resources available to you. In addition to the guidelines provided in this chapter, you may wish to consult the APA website at http://www.apa.org or the Purdue University Online Writing lab at http://owl.english.purdue.edu , which regularly updates its online style guidelines.

General Formatting Guidelines

This chapter provides detailed guidelines for using the citation and formatting conventions developed by the American Psychological Association, or APA. Writers in disciplines as diverse as astrophysics, biology, psychology, and education follow APA style. The major components of a paper written in APA style are listed in the following box.

These are the major components of an APA-style paper:

Body, which includes the following:

• Headings and, if necessary, subheadings to organize the content
• In-text citations of research sources
• References page

All these components must be saved in one document, not as separate documents.

The title page of your paper includes the following information:

• Title of the paper
• Author’s name
• Name of the institution with which the author is affiliated
• Header at the top of the page with the paper title (in capital letters) and the page number (If the title is lengthy, you may use a shortened form of it in the header.)

List the first three elements in the order given in the previous list, centered about one third of the way down from the top of the page. Use the headers and footers tool of your word-processing program to add the header, with the title text at the left and the page number in the upper-right corner. Your title page should look like the following example.

The next page of your paper provides an abstract , or brief summary of your findings. An abstract does not need to be provided in every paper, but an abstract should be used in papers that include a hypothesis. A good abstract is concise—about one hundred fifty to two hundred fifty words—and is written in an objective, impersonal style. Your writing voice will not be as apparent here as in the body of your paper. When writing the abstract, take a just-the-facts approach, and summarize your research question and your findings in a few sentences.

In Chapter 12 “Writing a Research Paper” , you read a paper written by a student named Jorge, who researched the effectiveness of low-carbohydrate diets. Read Jorge’s abstract. Note how it sums up the major ideas in his paper without going into excessive detail.

Write an abstract summarizing your paper. Briefly introduce the topic, state your findings, and sum up what conclusions you can draw from your research. Use the word count feature of your word-processing program to make sure your abstract does not exceed one hundred fifty words.

Depending on your field of study, you may sometimes write research papers that present extensive primary research, such as your own experiment or survey. In your abstract, summarize your research question and your findings, and briefly indicate how your study relates to prior research in the field.

Margins, Pagination, and Headings

APA style requirements also address specific formatting concerns, such as margins, pagination, and heading styles, within the body of the paper. Review the following APA guidelines.

Use these general guidelines to format the paper:

• Set the top, bottom, and side margins of your paper at 1 inch.
• Use double-spaced text throughout your paper.
• Use a standard font, such as Times New Roman or Arial, in a legible size (10- to 12-point).
• Use continuous pagination throughout the paper, including the title page and the references section. Page numbers appear flush right within your header.
• Section headings and subsection headings within the body of your paper use different types of formatting depending on the level of information you are presenting. Additional details from Jorge’s paper are provided.

Begin formatting the final draft of your paper according to APA guidelines. You may work with an existing document or set up a new document if you choose. Include the following:

• Your title page
• The abstract you created in Note 13.8 “Exercise 1”
• Correct headers and page numbers for your title page and abstract

APA style uses section headings to organize information, making it easy for the reader to follow the writer’s train of thought and to know immediately what major topics are covered. Depending on the length and complexity of the paper, its major sections may also be divided into subsections, sub-subsections, and so on. These smaller sections, in turn, use different heading styles to indicate different levels of information. In essence, you are using headings to create a hierarchy of information.

The following heading styles used in APA formatting are listed in order of greatest to least importance:

• Section headings use centered, boldface type. Headings use title case, with important words in the heading capitalized.
• Subsection headings use left-aligned, boldface type. Headings use title case.
• The third level uses left-aligned, indented, boldface type. Headings use a capital letter only for the first word, and they end in a period.
• The fourth level follows the same style used for the previous level, but the headings are boldfaced and italicized.
• The fifth level follows the same style used for the previous level, but the headings are italicized and not boldfaced.

Visually, the hierarchy of information is organized as indicated in Table 13.1 “Section Headings” .

Table 13.1 Section Headings

A college research paper may not use all the heading levels shown in Table 13.1 “Section Headings” , but you are likely to encounter them in academic journal articles that use APA style. For a brief paper, you may find that level 1 headings suffice. Longer or more complex papers may need level 2 headings or other lower-level headings to organize information clearly. Use your outline to craft your major section headings and determine whether any subtopics are substantial enough to require additional levels of headings.

Working with the document you developed in Note 13.11 “Exercise 2” , begin setting up the heading structure of the final draft of your research paper according to APA guidelines. Include your title and at least two to three major section headings, and follow the formatting guidelines provided above. If your major sections should be broken into subsections, add those headings as well. Use your outline to help you.

Because Jorge used only level 1 headings, his Exercise 3 would look like the following:

Citation Guidelines

In-text citations.

Throughout the body of your paper, include a citation whenever you quote or paraphrase material from your research sources. As you learned in Chapter 11 “Writing from Research: What Will I Learn?” , the purpose of citations is twofold: to give credit to others for their ideas and to allow your reader to follow up and learn more about the topic if desired. Your in-text citations provide basic information about your source; each source you cite will have a longer entry in the references section that provides more detailed information.

In-text citations must provide the name of the author or authors and the year the source was published. (When a given source does not list an individual author, you may provide the source title or the name of the organization that published the material instead.) When directly quoting a source, it is also required that you include the page number where the quote appears in your citation.

This information may be included within the sentence or in a parenthetical reference at the end of the sentence, as in these examples.

Epstein (2010) points out that “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive” (p. 137).

Here, the writer names the source author when introducing the quote and provides the publication date in parentheses after the author’s name. The page number appears in parentheses after the closing quotation marks and before the period that ends the sentence.

Addiction researchers caution that “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive” (Epstein, 2010, p. 137).

Here, the writer provides a parenthetical citation at the end of the sentence that includes the author’s name, the year of publication, and the page number separated by commas. Again, the parenthetical citation is placed after the closing quotation marks and before the period at the end of the sentence.

As noted in the book Junk Food, Junk Science (Epstein, 2010, p. 137), “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive.”

Here, the writer chose to mention the source title in the sentence (an optional piece of information to include) and followed the title with a parenthetical citation. Note that the parenthetical citation is placed before the comma that signals the end of the introductory phrase.

David Epstein’s book Junk Food, Junk Science (2010) pointed out that “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive” (p. 137).

Another variation is to introduce the author and the source title in your sentence and include the publication date and page number in parentheses within the sentence or at the end of the sentence. As long as you have included the essential information, you can choose the option that works best for that particular sentence and source.

Citing a book with a single author is usually a straightforward task. Of course, your research may require that you cite many other types of sources, such as books or articles with more than one author or sources with no individual author listed. You may also need to cite sources available in both print and online and nonprint sources, such as websites and personal interviews. Chapter 13 “APA and MLA Documentation and Formatting” , Section 13.2 “Citing and Referencing Techniques” and Section 13.3 “Creating a References Section” provide extensive guidelines for citing a variety of source types.

Writing at Work

APA is just one of several different styles with its own guidelines for documentation, formatting, and language usage. Depending on your field of interest, you may be exposed to additional styles, such as the following:

• MLA style. Determined by the Modern Languages Association and used for papers in literature, languages, and other disciplines in the humanities.
• Chicago style. Outlined in the Chicago Manual of Style and sometimes used for papers in the humanities and the sciences; many professional organizations use this style for publications as well.
• Associated Press (AP) style. Used by professional journalists.

References List

The brief citations included in the body of your paper correspond to the more detailed citations provided at the end of the paper in the references section. In-text citations provide basic information—the author’s name, the publication date, and the page number if necessary—while the references section provides more extensive bibliographical information. Again, this information allows your reader to follow up on the sources you cited and do additional reading about the topic if desired.

The specific format of entries in the list of references varies slightly for different source types, but the entries generally include the following information:

• The name(s) of the author(s) or institution that wrote the source
• The year of publication and, where applicable, the exact date of publication
• The full title of the source
• For books, the city of publication
• For articles or essays, the name of the periodical or book in which the article or essay appears
• For magazine and journal articles, the volume number, issue number, and pages where the article appears
• For sources on the web, the URL where the source is located

The references page is double spaced and lists entries in alphabetical order by the author’s last name. If an entry continues for more than one line, the second line and each subsequent line are indented five spaces. Review the following example. ( Chapter 13 “APA and MLA Documentation and Formatting” , Section 13.3 “Creating a References Section” provides extensive guidelines for formatting reference entries for different types of sources.)

In APA style, book and article titles are formatted in sentence case, not title case. Sentence case means that only the first word is capitalized, along with any proper nouns.

Key Takeaways

• Following proper citation and formatting guidelines helps writers ensure that their work will be taken seriously, give proper credit to other authors for their work, and provide valuable information to readers.
• Working ahead and taking care to cite sources correctly the first time are ways writers can save time during the editing stage of writing a research paper.
• APA papers usually include an abstract that concisely summarizes the paper.
• APA papers use a specific headings structure to provide a clear hierarchy of information.
• In APA papers, in-text citations usually include the name(s) of the author(s) and the year of publication.
• In-text citations correspond to entries in the references section, which provide detailed bibliographical information about a source.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

• Developing a Research Question

by acburton | Mar 22, 2024 | Resources for Students , Writing Resources

Selecting your research question and creating a clear goal and structure for your writing can be challenging – whether you are doing it for the first time or if you’ve done it many times before. It can be especially difficult when your research question starts to look and feel a little different somewhere between your first and final draft. Don’t panic! It’s normal for your research question to change a little (or even quite a bit) as you move through and engage with the writing process. Anticipating this can remind you to stay on track while you work and that it’ll be okay even if the literature takes you in a different direction.

What Makes an Effective Research Question?

The most effective research question will usually be a critical thinking question and should use “how” or “why” to ensure it can move beyond a yes/no or one-word type of answer. Consider how your research question can aim to reveal something new, fill in a gap, even if small, and contribute to the field in a meaningful way; How might the proposed project move knowledge forward about a particular place or process? This should be specific and achievable!

The CEWC’s Grad Writing Consultant Tariq says, “I definitely concentrated on those aspects of what I saw in the field where I believed there was an opportunity to move the discipline forward.”

General Tips

Do your research.

Utilize the librarians at your university and take the time to research your topic first. Try looking at very general sources to get an idea of what could be interesting to you before you move to more academic articles that support your rough idea of the topic. It is important that research is grounded in what you see or experience regarding the topic you have chosen and what is already known in the literature. Spend time researching articles, books, etc. that supports your thesis. Once you have a number of sources that you know support what you want to write about, formulate a research question that serves as the interrogative form of your thesis statement.

Grad Writing Consultant Deni advises, “Delineate your intervention in the literature (i.e., be strategic about the literature you discuss and clear about your contributions to it).”

Start Broadly…. then Narrow Your Topic Down to Something Manageable

When brainstorming your research question, let your mind veer toward connections or associations that you might have already considered or that seem to make sense and consider if new research terms, language or concepts come to mind that may be interesting or exciting for you as a researcher. Sometimes testing out a research question while doing some preliminary researching is also useful to see if the language you are using or the direction you are heading toward is fruitful when trying to search strategically in academic databases. Be prepared to focus on a specific area of a broad topic.

Writing Consultant Jessie recommends outlining: “I think some rough outlining with a research question in mind can be helpful for me. I’ll have a research question and maybe a working thesis that I feel may be my claim to the research question based on some preliminary materials, brainstorming, etc.” — Jessie, CEWC Writing Consultant

Try an Exercise

In the earliest phase of brainstorming, try an exercise suggested by CEWC Writing Specialist, Percival! While it is normally used in classroom or workshop settings, this exercise can easily be modified for someone working alone. The flow of the activity, if done within a group setting, is 1) someone starts with an idea, 2) three other people share their idea, and 3) the starting person picks two of these new ideas they like best and combines their original idea with those. The activity then begins again with the idea that was not chosen. The solo version of this exercise substitutes a ‘word bank,’ created using words, topics, or ideas similar to your broad, overarching theme. Pick two words or phrases from your word bank, combine it with your original idea or topic, and ‘start again’ with two different words. This serves as a replacement for different people’s suggestions. Ideas for your ‘word bank’ can range from vague prompts about mapping or webbing (e.g., where your topic falls within the discipline and others like it), to more specific concepts that come from tracing the history of an idea (its past, present, future) or mapping the idea’s related ideas, influences, etc. Care for a physics analogy? There is a particle (your topic) that you can describe, a wave that the particle traces, and a field that the particle is mapped on.

Get Feedback and Affirm Your Confidence!

Creating a few different versions of your research question (they may be the same topic/issue/theme or differ slightly) can be useful during this process. Sharing these with trusted friends, colleagues, mentors, (or tutors!) and having conversations about your questions and ideas with other people can help you decide which version you may feel most confident or interested in. Ask colleagues and mentors to share their research questions with you to get a lot of examples. Once you have done the work of developing an effective research question, do not forget to affirm your confidence! Based on your working thesis, think about how you might organize your chapters or paragraphs and what resources you have for supporting this structure and organization. This can help boost your confidence that the research question you have created is effective and fruitful.

Be Open to Change

Remember, your research question may change from your first to final draft. For questions along the way, make an appointment with the Writing Center. We are here to help you develop an effective and engaging research question and build the foundation for a solid research paper!

Example 1: In my field developing a research question involves navigating the relationship between 1) what one sees/experiences at their field site and 2) what is already known in the literature. During my preliminary research, I found that the financial value of land was often a matter of precisely these cultural factors. So, my research question ended up being: How do the social and material qualities of land entangle with processes of financialization in the city of Lahore. Regarding point #1, this question was absolutely informed by what I saw in the field. But regarding point #2, the question was also heavily shaped by the literature. – Tariq

Example 2: A research question should not be a yes/no question like “Is pollution bad?”; but an open-ended question where the answer has to be supported with reasons and explanation. The question also has to be narrowed down to a specific topic—using the same example as before—”Is pollution bad?” can be revised to “How does pollution affect people?” I would encourage students to be more specific then; e.g., what area of pollution do you want to talk about: water, air, plastic, climate change… what type of people or demographic can we focus on? …how does this affect marginalized communities, minorities, or specific areas in California? After researching and deciding on a focus, your question might sound something like: How does government policy affect water pollution and how does it affect the marginalized communities in the state of California? -Janella

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Organize your thoughts and articulate your argument.    Write down the argument that you want to make.    This may be the answer to your research question.    Then, identify 4 or 5 key claims that will best make your argument, and use those as points on your outline.    Review your notes, and identify the supporting evidence that you have for each claim.    Finally, add one more level of supporting ideas.    These should be a blend of your own ideas, and those of scholars that you’ve read.

Check out Purdue Owl's guide to writing an outline. 

Sample Draft Outline of a Single Section

      Why members joined the IRA (motivations)

a.         Solidarity

                                                               i.        Most volunteers had family members in the IRA when they joined

                                                             ii.        Most volunteers were of the same demographic (white, lower-class, Catholic)

b.        Psychology

                                                               i.        Collectivism vs. Individualism

                                                             ii.        Group Dynamics

                                                           iii.        Frustration-Aggression Theory

Articulate your thoughts, consistently referring to your outline to stay organized.  It may be helpful to write your paper on a separate document from your outline, to remove the temptation to copy your notes word for word.  Your paper should consist of your own original thoughts and language, informed by (not copied from) the notes you’ve taken.

Be sure to mark down exactly where you found the information that you use in your paper.  If you took good, accurate notes, this information shouldn’t be too hard to find.  You can go back and format your citations later, but make sure that you provide the key information (author, title, page number) as you write.  This will save you the effort of going back and looking up each piece of information in your notes to find out where you got it from.  Citing as you take notes and as you write your paper is one of the most important things that you can do to avoid plagiarism.

This is an iterative process.  You should be constantly revising your research question and arguments.  You cannot write a good research question without doing research, and you cannot do good research without having the direction of a research question.  You will have to go back to the drawing board more than once, and that’s okay.

• Last Updated: Mar 27, 2024 2:11 PM
• URL: https://researchguides.waketech.edu/claireresearchguide

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• Published: 26 March 2024

Predicting and improving complex beer flavor through machine learning

• Michiel Schreurs   ORCID: orcid.org/0000-0002-9449-5619 1 , 2 , 3   na1 ,
• Supinya Piampongsant 1 , 2 , 3   na1 ,
• Miguel Roncoroni   ORCID: orcid.org/0000-0001-7461-1427 1 , 2 , 3   na1 ,
• Lloyd Cool   ORCID: orcid.org/0000-0001-9936-3124 1 , 2 , 3 , 4 ,
• Beatriz Herrera-Malaver   ORCID: orcid.org/0000-0002-5096-9974 1 , 2 , 3 ,
• Christophe Vanderaa   ORCID: orcid.org/0000-0001-7443-5427 4 ,
• Florian A. Theßeling 1 , 2 , 3 ,
• Łukasz Kreft   ORCID: orcid.org/0000-0001-7620-4657 5 ,
• Alexander Botzki   ORCID: orcid.org/0000-0001-6691-4233 5 ,
• Philippe Malcorps 6 ,
• Luk Daenen 6 ,
• Tom Wenseleers   ORCID: orcid.org/0000-0002-1434-861X 4 &
• Kevin J. Verstrepen   ORCID: orcid.org/0000-0002-3077-6219 1 , 2 , 3  

Nature Communications volume  15 , Article number:  2368 ( 2024 ) Cite this article

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Metrics details

• Chemical engineering
• Gas chromatography
• Machine learning
• Metabolomics
• Taste receptors

The perception and appreciation of food flavor depends on many interacting chemical compounds and external factors, and therefore proves challenging to understand and predict. Here, we combine extensive chemical and sensory analyses of 250 different beers to train machine learning models that allow predicting flavor and consumer appreciation. For each beer, we measure over 200 chemical properties, perform quantitative descriptive sensory analysis with a trained tasting panel and map data from over 180,000 consumer reviews to train 10 different machine learning models. The best-performing algorithm, Gradient Boosting, yields models that significantly outperform predictions based on conventional statistics and accurately predict complex food features and consumer appreciation from chemical profiles. Model dissection allows identifying specific and unexpected compounds as drivers of beer flavor and appreciation. Adding these compounds results in variants of commercial alcoholic and non-alcoholic beers with improved consumer appreciation. Together, our study reveals how big data and machine learning uncover complex links between food chemistry, flavor and consumer perception, and lays the foundation to develop novel, tailored foods with superior flavors.

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Introduction

Predicting and understanding food perception and appreciation is one of the major challenges in food science. Accurate modeling of food flavor and appreciation could yield important opportunities for both producers and consumers, including quality control, product fingerprinting, counterfeit detection, spoilage detection, and the development of new products and product combinations (food pairing) 1 , 2 , 3 , 4 , 5 , 6 . Accurate models for flavor and consumer appreciation would contribute greatly to our scientific understanding of how humans perceive and appreciate flavor. Moreover, accurate predictive models would also facilitate and standardize existing food assessment methods and could supplement or replace assessments by trained and consumer tasting panels, which are variable, expensive and time-consuming 7 , 8 , 9 . Lastly, apart from providing objective, quantitative, accurate and contextual information that can help producers, models can also guide consumers in understanding their personal preferences 10 .

Despite the myriad of applications, predicting food flavor and appreciation from its chemical properties remains a largely elusive goal in sensory science, especially for complex food and beverages 11 , 12 . A key obstacle is the immense number of flavor-active chemicals underlying food flavor. Flavor compounds can vary widely in chemical structure and concentration, making them technically challenging and labor-intensive to quantify, even in the face of innovations in metabolomics, such as non-targeted metabolic fingerprinting 13 , 14 . Moreover, sensory analysis is perhaps even more complicated. Flavor perception is highly complex, resulting from hundreds of different molecules interacting at the physiochemical and sensorial level. Sensory perception is often non-linear, characterized by complex and concentration-dependent synergistic and antagonistic effects 15 , 16 , 17 , 18 , 19 , 20 , 21 that are further convoluted by the genetics, environment, culture and psychology of consumers 22 , 23 , 24 . Perceived flavor is therefore difficult to measure, with problems of sensitivity, accuracy, and reproducibility that can only be resolved by gathering sufficiently large datasets 25 . Trained tasting panels are considered the prime source of quality sensory data, but require meticulous training, are low throughput and high cost. Public databases containing consumer reviews of food products could provide a valuable alternative, especially for studying appreciation scores, which do not require formal training 25 . Public databases offer the advantage of amassing large amounts of data, increasing the statistical power to identify potential drivers of appreciation. However, public datasets suffer from biases, including a bias in the volunteers that contribute to the database, as well as confounding factors such as price, cult status and psychological conformity towards previous ratings of the product.

Classical multivariate statistics and machine learning methods have been used to predict flavor of specific compounds by, for example, linking structural properties of a compound to its potential biological activities or linking concentrations of specific compounds to sensory profiles 1 , 26 . Importantly, most previous studies focused on predicting organoleptic properties of single compounds (often based on their chemical structure) 27 , 28 , 29 , 30 , 31 , 32 , 33 , thus ignoring the fact that these compounds are present in a complex matrix in food or beverages and excluding complex interactions between compounds. Moreover, the classical statistics commonly used in sensory science 34 , 35 , 36 , 37 , 38 , 39 require a large sample size and sufficient variance amongst predictors to create accurate models. They are not fit for studying an extensive set of hundreds of interacting flavor compounds, since they are sensitive to outliers, have a high tendency to overfit and are less suited for non-linear and discontinuous relationships 40 .

In this study, we combine extensive chemical analyses and sensory data of a set of different commercial beers with machine learning approaches to develop models that predict taste, smell, mouthfeel and appreciation from compound concentrations. Beer is particularly suited to model the relationship between chemistry, flavor and appreciation. First, beer is a complex product, consisting of thousands of flavor compounds that partake in complex sensory interactions 41 , 42 , 43 . This chemical diversity arises from the raw materials (malt, yeast, hops, water and spices) and biochemical conversions during the brewing process (kilning, mashing, boiling, fermentation, maturation and aging) 44 , 45 . Second, the advent of the internet saw beer consumers embrace online review platforms, such as RateBeer (ZX Ventures, Anheuser-Busch InBev SA/NV) and BeerAdvocate (Next Glass, inc.). In this way, the beer community provides massive data sets of beer flavor and appreciation scores, creating extraordinarily large sensory databases to complement the analyses of our professional sensory panel. Specifically, we characterize over 200 chemical properties of 250 commercial beers, spread across 22 beer styles, and link these to the descriptive sensory profiling data of a 16-person in-house trained tasting panel and data acquired from over 180,000 public consumer reviews. These unique and extensive datasets enable us to train a suite of machine learning models to predict flavor and appreciation from a beer’s chemical profile. Dissection of the best-performing models allows us to pinpoint specific compounds as potential drivers of beer flavor and appreciation. Follow-up experiments confirm the importance of these compounds and ultimately allow us to significantly improve the flavor and appreciation of selected commercial beers. Together, our study represents a significant step towards understanding complex flavors and reinforces the value of machine learning to develop and refine complex foods. In this way, it represents a stepping stone for further computer-aided food engineering applications 46 .

To generate a comprehensive dataset on beer flavor, we selected 250 commercial Belgian beers across 22 different beer styles (Supplementary Fig.  S1 ). Beers with ≤ 4.2% alcohol by volume (ABV) were classified as non-alcoholic and low-alcoholic. Blonds and Tripels constitute a significant portion of the dataset (12.4% and 11.2%, respectively) reflecting their presence on the Belgian beer market and the heterogeneity of beers within these styles. By contrast, lager beers are less diverse and dominated by a handful of brands. Rare styles such as Brut or Faro make up only a small fraction of the dataset (2% and 1%, respectively) because fewer of these beers are produced and because they are dominated by distinct characteristics in terms of flavor and chemical composition.

Extensive analysis identifies relationships between chemical compounds in beer

For each beer, we measured 226 different chemical properties, including common brewing parameters such as alcohol content, iso-alpha acids, pH, sugar concentration 47 , and over 200 flavor compounds (Methods, Supplementary Table  S1 ). A large portion (37.2%) are terpenoids arising from hopping, responsible for herbal and fruity flavors 16 , 48 . A second major category are yeast metabolites, such as esters and alcohols, that result in fruity and solvent notes 48 , 49 , 50 . Other measured compounds are primarily derived from malt, or other microbes such as non- Saccharomyces yeasts and bacteria (‘wild flora’). Compounds that arise from spices or staling are labeled under ‘Others’. Five attributes (caloric value, total acids and total ester, hop aroma and sulfur compounds) are calculated from multiple individually measured compounds.

As a first step in identifying relationships between chemical properties, we determined correlations between the concentrations of the compounds (Fig.  1 , upper panel, Supplementary Data  1 and 2 , and Supplementary Fig.  S2 . For the sake of clarity, only a subset of the measured compounds is shown in Fig.  1 ). Compounds of the same origin typically show a positive correlation, while absence of correlation hints at parameters varying independently. For example, the hop aroma compounds citronellol, and alpha-terpineol show moderate correlations with each other (Spearman’s rho=0.39 and 0.57), but not with the bittering hop component iso-alpha acids (Spearman’s rho=0.16 and −0.07). This illustrates how brewers can independently modify hop aroma and bitterness by selecting hop varieties and dosage time. If hops are added early in the boiling phase, chemical conversions increase bitterness while aromas evaporate, conversely, late addition of hops preserves aroma but limits bitterness 51 . Similarly, hop-derived iso-alpha acids show a strong anti-correlation with lactic acid and acetic acid, likely reflecting growth inhibition of lactic acid and acetic acid bacteria, or the consequent use of fewer hops in sour beer styles, such as West Flanders ales and Fruit beers, that rely on these bacteria for their distinct flavors 52 . Finally, yeast-derived esters (ethyl acetate, ethyl decanoate, ethyl hexanoate, ethyl octanoate) and alcohols (ethanol, isoamyl alcohol, isobutanol, and glycerol), correlate with Spearman coefficients above 0.5, suggesting that these secondary metabolites are correlated with the yeast genetic background and/or fermentation parameters and may be difficult to influence individually, although the choice of yeast strain may offer some control 53 .

Spearman rank correlations are shown. Descriptors are grouped according to their origin (malt (blue), hops (green), yeast (red), wild flora (yellow), Others (black)), and sensory aspect (aroma, taste, palate, and overall appreciation). Please note that for the chemical compounds, for the sake of clarity, only a subset of the total number of measured compounds is shown, with an emphasis on the key compounds for each source. For more details, see the main text and Methods section. Chemical data can be found in Supplementary Data  1 , correlations between all chemical compounds are depicted in Supplementary Fig.  S2 and correlation values can be found in Supplementary Data  2 . See Supplementary Data  4 for sensory panel assessments and Supplementary Data  5 for correlation values between all sensory descriptors.

Interestingly, different beer styles show distinct patterns for some flavor compounds (Supplementary Fig.  S3 ). These observations agree with expectations for key beer styles, and serve as a control for our measurements. For instance, Stouts generally show high values for color (darker), while hoppy beers contain elevated levels of iso-alpha acids, compounds associated with bitter hop taste. Acetic and lactic acid are not prevalent in most beers, with notable exceptions such as Kriek, Lambic, Faro, West Flanders ales and Flanders Old Brown, which use acid-producing bacteria ( Lactobacillus and Pediococcus ) or unconventional yeast ( Brettanomyces ) 54 , 55 . Glycerol, ethanol and esters show similar distributions across all beer styles, reflecting their common origin as products of yeast metabolism during fermentation 45 , 53 . Finally, low/no-alcohol beers contain low concentrations of glycerol and esters. This is in line with the production process for most of the low/no-alcohol beers in our dataset, which are produced through limiting fermentation or by stripping away alcohol via evaporation or dialysis, with both methods having the unintended side-effect of reducing the amount of flavor compounds in the final beer 56 , 57 .

Besides expected associations, our data also reveals less trivial associations between beer styles and specific parameters. For example, geraniol and citronellol, two monoterpenoids responsible for citrus, floral and rose flavors and characteristic of Citra hops, are found in relatively high amounts in Christmas, Saison, and Brett/co-fermented beers, where they may originate from terpenoid-rich spices such as coriander seeds instead of hops 58 .

Tasting panel assessments reveal sensorial relationships in beer

To assess the sensory profile of each beer, a trained tasting panel evaluated each of the 250 beers for 50 sensory attributes, including different hop, malt and yeast flavors, off-flavors and spices. Panelists used a tasting sheet (Supplementary Data  3 ) to score the different attributes. Panel consistency was evaluated by repeating 12 samples across different sessions and performing ANOVA. In 95% of cases no significant difference was found across sessions ( p  > 0.05), indicating good panel consistency (Supplementary Table  S2 ).

Aroma and taste perception reported by the trained panel are often linked (Fig.  1 , bottom left panel and Supplementary Data  4 and 5 ), with high correlations between hops aroma and taste (Spearman’s rho=0.83). Bitter taste was found to correlate with hop aroma and taste in general (Spearman’s rho=0.80 and 0.69), and particularly with “grassy” noble hops (Spearman’s rho=0.75). Barnyard flavor, most often associated with sour beers, is identified together with stale hops (Spearman’s rho=0.97) that are used in these beers. Lactic and acetic acid, which often co-occur, are correlated (Spearman’s rho=0.66). Interestingly, sweetness and bitterness are anti-correlated (Spearman’s rho = −0.48), confirming the hypothesis that they mask each other 59 , 60 . Beer body is highly correlated with alcohol (Spearman’s rho = 0.79), and overall appreciation is found to correlate with multiple aspects that describe beer mouthfeel (alcohol, carbonation; Spearman’s rho= 0.32, 0.39), as well as with hop and ester aroma intensity (Spearman’s rho=0.39 and 0.35).

Similar to the chemical analyses, sensorial analyses confirmed typical features of specific beer styles (Supplementary Fig.  S4 ). For example, sour beers (Faro, Flanders Old Brown, Fruit beer, Kriek, Lambic, West Flanders ale) were rated acidic, with flavors of both acetic and lactic acid. Hoppy beers were found to be bitter and showed hop-associated aromas like citrus and tropical fruit. Malt taste is most detected among scotch, stout/porters, and strong ales, while low/no-alcohol beers, which often have a reputation for being ‘worty’ (reminiscent of unfermented, sweet malt extract) appear in the middle. Unsurprisingly, hop aromas are most strongly detected among hoppy beers. Like its chemical counterpart (Supplementary Fig.  S3 ), acidity shows a right-skewed distribution, with the most acidic beers being Krieks, Lambics, and West Flanders ales.

Tasting panel assessments of specific flavors correlate with chemical composition

We find that the concentrations of several chemical compounds strongly correlate with specific aroma or taste, as evaluated by the tasting panel (Fig.  2 , Supplementary Fig.  S5 , Supplementary Data  6 ). In some cases, these correlations confirm expectations and serve as a useful control for data quality. For example, iso-alpha acids, the bittering compounds in hops, strongly correlate with bitterness (Spearman’s rho=0.68), while ethanol and glycerol correlate with tasters’ perceptions of alcohol and body, the mouthfeel sensation of fullness (Spearman’s rho=0.82/0.62 and 0.72/0.57 respectively) and darker color from roasted malts is a good indication of malt perception (Spearman’s rho=0.54).

Heatmap colors indicate Spearman’s Rho. Axes are organized according to sensory categories (aroma, taste, mouthfeel, overall), chemical categories and chemical sources in beer (malt (blue), hops (green), yeast (red), wild flora (yellow), Others (black)). See Supplementary Data  6 for all correlation values.

Interestingly, for some relationships between chemical compounds and perceived flavor, correlations are weaker than expected. For example, the rose-smelling phenethyl acetate only weakly correlates with floral aroma. This hints at more complex relationships and interactions between compounds and suggests a need for a more complex model than simple correlations. Lastly, we uncovered unexpected correlations. For instance, the esters ethyl decanoate and ethyl octanoate appear to correlate slightly with hop perception and bitterness, possibly due to their fruity flavor. Iron is anti-correlated with hop aromas and bitterness, most likely because it is also anti-correlated with iso-alpha acids. This could be a sign of metal chelation of hop acids 61 , given that our analyses measure unbound hop acids and total iron content, or could result from the higher iron content in dark and Fruit beers, which typically have less hoppy and bitter flavors 62 .

Public consumer reviews complement expert panel data

To complement and expand the sensory data of our trained tasting panel, we collected 180,000 reviews of our 250 beers from the online consumer review platform RateBeer. This provided numerical scores for beer appearance, aroma, taste, palate, overall quality as well as the average overall score.

Public datasets are known to suffer from biases, such as price, cult status and psychological conformity towards previous ratings of a product. For example, prices correlate with appreciation scores for these online consumer reviews (rho=0.49, Supplementary Fig.  S6 ), but not for our trained tasting panel (rho=0.19). This suggests that prices affect consumer appreciation, which has been reported in wine 63 , while blind tastings are unaffected. Moreover, we observe that some beer styles, like lagers and non-alcoholic beers, generally receive lower scores, reflecting that online reviewers are mostly beer aficionados with a preference for specialty beers over lager beers. In general, we find a modest correlation between our trained panel’s overall appreciation score and the online consumer appreciation scores (Fig.  3 , rho=0.29). Apart from the aforementioned biases in the online datasets, serving temperature, sample freshness and surroundings, which are all tightly controlled during the tasting panel sessions, can vary tremendously across online consumers and can further contribute to (among others, appreciation) differences between the two categories of tasters. Importantly, in contrast to the overall appreciation scores, for many sensory aspects the results from the professional panel correlated well with results obtained from RateBeer reviews. Correlations were highest for features that are relatively easy to recognize even for untrained tasters, like bitterness, sweetness, alcohol and malt aroma (Fig.  3 and below).

RateBeer text mining results can be found in Supplementary Data  7 . Rho values shown are Spearman correlation values, with asterisks indicating significant correlations ( p  < 0.05, two-sided). All p values were smaller than 0.001, except for Esters aroma (0.0553), Esters taste (0.3275), Esters aroma—banana (0.0019), Coriander (0.0508) and Diacetyl (0.0134).

Besides collecting consumer appreciation from these online reviews, we developed automated text analysis tools to gather additional data from review texts (Supplementary Data  7 ). Processing review texts on the RateBeer database yielded comparable results to the scores given by the trained panel for many common sensory aspects, including acidity, bitterness, sweetness, alcohol, malt, and hop tastes (Fig.  3 ). This is in line with what would be expected, since these attributes require less training for accurate assessment and are less influenced by environmental factors such as temperature, serving glass and odors in the environment. Consumer reviews also correlate well with our trained panel for 4-vinyl guaiacol, a compound associated with a very characteristic aroma. By contrast, correlations for more specific aromas like ester, coriander or diacetyl are underrepresented in the online reviews, underscoring the importance of using a trained tasting panel and standardized tasting sheets with explicit factors to be scored for evaluating specific aspects of a beer. Taken together, our results suggest that public reviews are trustworthy for some, but not all, flavor features and can complement or substitute taste panel data for these sensory aspects.

Models can predict beer sensory profiles from chemical data

The rich datasets of chemical analyses, tasting panel assessments and public reviews gathered in the first part of this study provided us with a unique opportunity to develop predictive models that link chemical data to sensorial features. Given the complexity of beer flavor, basic statistical tools such as correlations or linear regression may not always be the most suitable for making accurate predictions. Instead, we applied different machine learning models that can model both simple linear and complex interactive relationships. Specifically, we constructed a set of regression models to predict (a) trained panel scores for beer flavor and quality and (b) public reviews’ appreciation scores from beer chemical profiles. We trained and tested 10 different models (Methods), 3 linear regression-based models (simple linear regression with first-order interactions (LR), lasso regression with first-order interactions (Lasso), partial least squares regressor (PLSR)), 5 decision tree models (AdaBoost regressor (ABR), extra trees (ET), gradient boosting regressor (GBR), random forest (RF) and XGBoost regressor (XGBR)), 1 support vector regression (SVR), and 1 artificial neural network (ANN) model.

To compare the performance of our machine learning models, the dataset was randomly split into a training and test set, stratified by beer style. After a model was trained on data in the training set, its performance was evaluated on its ability to predict the test dataset obtained from multi-output models (based on the coefficient of determination, see Methods). Additionally, individual-attribute models were ranked per descriptor and the average rank was calculated, as proposed by Korneva et al. 64 . Importantly, both ways of evaluating the models’ performance agreed in general. Performance of the different models varied (Table  1 ). It should be noted that all models perform better at predicting RateBeer results than results from our trained tasting panel. One reason could be that sensory data is inherently variable, and this variability is averaged out with the large number of public reviews from RateBeer. Additionally, all tree-based models perform better at predicting taste than aroma. Linear models (LR) performed particularly poorly, with negative R 2 values, due to severe overfitting (training set R 2  = 1). Overfitting is a common issue in linear models with many parameters and limited samples, especially with interaction terms further amplifying the number of parameters. L1 regularization (Lasso) successfully overcomes this overfitting, out-competing multiple tree-based models on the RateBeer dataset. Similarly, the dimensionality reduction of PLSR avoids overfitting and improves performance, to some extent. Still, tree-based models (ABR, ET, GBR, RF and XGBR) show the best performance, out-competing the linear models (LR, Lasso, PLSR) commonly used in sensory science 65 .

GBR models showed the best overall performance in predicting sensory responses from chemical information, with R 2 values up to 0.75 depending on the predicted sensory feature (Supplementary Table  S4 ). The GBR models predict consumer appreciation (RateBeer) better than our trained panel’s appreciation (R 2 value of 0.67 compared to R 2 value of 0.09) (Supplementary Table  S3 and Supplementary Table  S4 ). ANN models showed intermediate performance, likely because neural networks typically perform best with larger datasets 66 . The SVR shows intermediate performance, mostly due to the weak predictions of specific attributes that lower the overall performance (Supplementary Table  S4 ).

Model dissection identifies specific, unexpected compounds as drivers of consumer appreciation

Next, we leveraged our models to infer important contributors to sensory perception and consumer appreciation. Consumer preference is a crucial sensory aspects, because a product that shows low consumer appreciation scores often does not succeed commercially 25 . Additionally, the requirement for a large number of representative evaluators makes consumer trials one of the more costly and time-consuming aspects of product development. Hence, a model for predicting chemical drivers of overall appreciation would be a welcome addition to the available toolbox for food development and optimization.

Since GBR models on our RateBeer dataset showed the best overall performance, we focused on these models. Specifically, we used two approaches to identify important contributors. First, rankings of the most important predictors for each sensorial trait in the GBR models were obtained based on impurity-based feature importance (mean decrease in impurity). High-ranked parameters were hypothesized to be either the true causal chemical properties underlying the trait, to correlate with the actual causal properties, or to take part in sensory interactions affecting the trait 67 (Fig.  4A ). In a second approach, we used SHAP 68 to determine which parameters contributed most to the model for making predictions of consumer appreciation (Fig.  4B ). SHAP calculates parameter contributions to model predictions on a per-sample basis, which can be aggregated into an importance score.

A The impurity-based feature importance (mean deviance in impurity, MDI) calculated from the Gradient Boosting Regression (GBR) model predicting RateBeer appreciation scores. The top 15 highest ranked chemical properties are shown. B SHAP summary plot for the top 15 parameters contributing to our GBR model. Each point on the graph represents a sample from our dataset. The color represents the concentration of that parameter, with bluer colors representing low values and redder colors representing higher values. Greater absolute values on the horizontal axis indicate a higher impact of the parameter on the prediction of the model. C Spearman correlations between the 15 most important chemical properties and consumer overall appreciation. Numbers indicate the Spearman Rho correlation coefficient, and the rank of this correlation compared to all other correlations. The top 15 important compounds were determined using SHAP (panel B).

Both approaches identified ethyl acetate as the most predictive parameter for beer appreciation (Fig.  4 ). Ethyl acetate is the most abundant ester in beer with a typical ‘fruity’, ‘solvent’ and ‘alcoholic’ flavor, but is often considered less important than other esters like isoamyl acetate. The second most important parameter identified by SHAP is ethanol, the most abundant beer compound after water. Apart from directly contributing to beer flavor and mouthfeel, ethanol drastically influences the physical properties of beer, dictating how easily volatile compounds escape the beer matrix to contribute to beer aroma 69 . Importantly, it should also be noted that the importance of ethanol for appreciation is likely inflated by the very low appreciation scores of non-alcoholic beers (Supplementary Fig.  S4 ). Despite not often being considered a driver of beer appreciation, protein level also ranks highly in both approaches, possibly due to its effect on mouthfeel and body 70 . Lactic acid, which contributes to the tart taste of sour beers, is the fourth most important parameter identified by SHAP, possibly due to the generally high appreciation of sour beers in our dataset.

Interestingly, some of the most important predictive parameters for our model are not well-established as beer flavors or are even commonly regarded as being negative for beer quality. For example, our models identify methanethiol and ethyl phenyl acetate, an ester commonly linked to beer staling 71 , as a key factor contributing to beer appreciation. Although there is no doubt that high concentrations of these compounds are considered unpleasant, the positive effects of modest concentrations are not yet known 72 , 73 .

To compare our approach to conventional statistics, we evaluated how well the 15 most important SHAP-derived parameters correlate with consumer appreciation (Fig.  4C ). Interestingly, only 6 of the properties derived by SHAP rank amongst the top 15 most correlated parameters. For some chemical compounds, the correlations are so low that they would have likely been considered unimportant. For example, lactic acid, the fourth most important parameter, shows a bimodal distribution for appreciation, with sour beers forming a separate cluster, that is missed entirely by the Spearman correlation. Additionally, the correlation plots reveal outliers, emphasizing the need for robust analysis tools. Together, this highlights the need for alternative models, like the Gradient Boosting model, that better grasp the complexity of (beer) flavor.

Finally, to observe the relationships between these chemical properties and their predicted targets, partial dependence plots were constructed for the six most important predictors of consumer appreciation 74 , 75 , 76 (Supplementary Fig.  S7 ). One-way partial dependence plots show how a change in concentration affects the predicted appreciation. These plots reveal an important limitation of our models: appreciation predictions remain constant at ever-increasing concentrations. This implies that once a threshold concentration is reached, further increasing the concentration does not affect appreciation. This is false, as it is well-documented that certain compounds become unpleasant at high concentrations, including ethyl acetate (‘nail polish’) 77 and methanethiol (‘sulfury’ and ‘rotten cabbage’) 78 . The inability of our models to grasp that flavor compounds have optimal levels, above which they become negative, is a consequence of working with commercial beer brands where (off-)flavors are rarely too high to negatively impact the product. The two-way partial dependence plots show how changing the concentration of two compounds influences predicted appreciation, visualizing their interactions (Supplementary Fig.  S7 ). In our case, the top 5 parameters are dominated by additive or synergistic interactions, with high concentrations for both compounds resulting in the highest predicted appreciation.

To assess the robustness of our best-performing models and model predictions, we performed 100 iterations of the GBR, RF and ET models. In general, all iterations of the models yielded similar performance (Supplementary Fig.  S8 ). Moreover, the main predictors (including the top predictors ethanol and ethyl acetate) remained virtually the same, especially for GBR and RF. For the iterations of the ET model, we did observe more variation in the top predictors, which is likely a consequence of the model’s inherent random architecture in combination with co-correlations between certain predictors. However, even in this case, several of the top predictors (ethanol and ethyl acetate) remain unchanged, although their rank in importance changes (Supplementary Fig.  S8 ).

Next, we investigated if a combination of RateBeer and trained panel data into one consolidated dataset would lead to stronger models, under the hypothesis that such a model would suffer less from bias in the datasets. A GBR model was trained to predict appreciation on the combined dataset. This model underperformed compared to the RateBeer model, both in the native case and when including a dataset identifier (R 2  = 0.67, 0.26 and 0.42 respectively). For the latter, the dataset identifier is the most important feature (Supplementary Fig.  S9 ), while most of the feature importance remains unchanged, with ethyl acetate and ethanol ranking highest, like in the original model trained only on RateBeer data. It seems that the large variation in the panel dataset introduces noise, weakening the models’ performances and reliability. In addition, it seems reasonable to assume that both datasets are fundamentally different, with the panel dataset obtained by blind tastings by a trained professional panel.

Lastly, we evaluated whether beer style identifiers would further enhance the model’s performance. A GBR model was trained with parameters that explicitly encoded the styles of the samples. This did not improve model performance (R2 = 0.66 with style information vs R2 = 0.67). The most important chemical features are consistent with the model trained without style information (eg. ethanol and ethyl acetate), and with the exception of the most preferred (strong ale) and least preferred (low/no-alcohol) styles, none of the styles were among the most important features (Supplementary Fig.  S9 , Supplementary Table  S5 and S6 ). This is likely due to a combination of style-specific chemical signatures, such as iso-alpha acids and lactic acid, that implicitly convey style information to the original models, as well as the low number of samples belonging to some styles, making it difficult for the model to learn style-specific patterns. Moreover, beer styles are not rigorously defined, with some styles overlapping in features and some beers being misattributed to a specific style, all of which leads to more noise in models that use style parameters.

Model validation

To test if our predictive models give insight into beer appreciation, we set up experiments aimed at improving existing commercial beers. We specifically selected overall appreciation as the trait to be examined because of its complexity and commercial relevance. Beer flavor comprises a complex bouquet rather than single aromas and tastes 53 . Hence, adding a single compound to the extent that a difference is noticeable may lead to an unbalanced, artificial flavor. Therefore, we evaluated the effect of combinations of compounds. Because Blond beers represent the most extensive style in our dataset, we selected a beer from this style as the starting material for these experiments (Beer 64 in Supplementary Data  1 ).

In the first set of experiments, we adjusted the concentrations of compounds that made up the most important predictors of overall appreciation (ethyl acetate, ethanol, lactic acid, ethyl phenyl acetate) together with correlated compounds (ethyl hexanoate, isoamyl acetate, glycerol), bringing them up to 95 th percentile ethanol-normalized concentrations (Methods) within the Blond group (‘Spiked’ concentration in Fig.  5A ). Compared to controls, the spiked beers were found to have significantly improved overall appreciation among trained panelists, with panelist noting increased intensity of ester flavors, sweetness, alcohol, and body fullness (Fig.  5B ). To disentangle the contribution of ethanol to these results, a second experiment was performed without the addition of ethanol. This resulted in a similar outcome, including increased perception of alcohol and overall appreciation.

Adding the top chemical compounds, identified as best predictors of appreciation by our model, into poorly appreciated beers results in increased appreciation from our trained panel. Results of sensory tests between base beers and those spiked with compounds identified as the best predictors by the model. A Blond and Non/Low-alcohol (0.0% ABV) base beers were brought up to 95th-percentile ethanol-normalized concentrations within each style. B For each sensory attribute, tasters indicated the more intense sample and selected the sample they preferred. The numbers above the bars correspond to the p values that indicate significant changes in perceived flavor (two-sided binomial test: alpha 0.05, n  = 20 or 13).

In a last experiment, we tested whether using the model’s predictions can boost the appreciation of a non-alcoholic beer (beer 223 in Supplementary Data  1 ). Again, the addition of a mixture of predicted compounds (omitting ethanol, in this case) resulted in a significant increase in appreciation, body, ester flavor and sweetness.

Predicting flavor and consumer appreciation from chemical composition is one of the ultimate goals of sensory science. A reliable, systematic and unbiased way to link chemical profiles to flavor and food appreciation would be a significant asset to the food and beverage industry. Such tools would substantially aid in quality control and recipe development, offer an efficient and cost-effective alternative to pilot studies and consumer trials and would ultimately allow food manufacturers to produce superior, tailor-made products that better meet the demands of specific consumer groups more efficiently.

A limited set of studies have previously tried, to varying degrees of success, to predict beer flavor and beer popularity based on (a limited set of) chemical compounds and flavors 79 , 80 . Current sensitive, high-throughput technologies allow measuring an unprecedented number of chemical compounds and properties in a large set of samples, yielding a dataset that can train models that help close the gaps between chemistry and flavor, even for a complex natural product like beer. To our knowledge, no previous research gathered data at this scale (250 samples, 226 chemical parameters, 50 sensory attributes and 5 consumer scores) to disentangle and validate the chemical aspects driving beer preference using various machine-learning techniques. We find that modern machine learning models outperform conventional statistical tools, such as correlations and linear models, and can successfully predict flavor appreciation from chemical composition. This could be attributed to the natural incorporation of interactions and non-linear or discontinuous effects in machine learning models, which are not easily grasped by the linear model architecture. While linear models and partial least squares regression represent the most widespread statistical approaches in sensory science, in part because they allow interpretation 65 , 81 , 82 , modern machine learning methods allow for building better predictive models while preserving the possibility to dissect and exploit the underlying patterns. Of the 10 different models we trained, tree-based models, such as our best performing GBR, showed the best overall performance in predicting sensory responses from chemical information, outcompeting artificial neural networks. This agrees with previous reports for models trained on tabular data 83 . Our results are in line with the findings of Colantonio et al. who also identified the gradient boosting architecture as performing best at predicting appreciation and flavor (of tomatoes and blueberries, in their specific study) 26 . Importantly, besides our larger experimental scale, we were able to directly confirm our models’ predictions in vivo.

Our study confirms that flavor compound concentration does not always correlate with perception, suggesting complex interactions that are often missed by more conventional statistics and simple models. Specifically, we find that tree-based algorithms may perform best in developing models that link complex food chemistry with aroma. Furthermore, we show that massive datasets of untrained consumer reviews provide a valuable source of data, that can complement or even replace trained tasting panels, especially for appreciation and basic flavors, such as sweetness and bitterness. This holds despite biases that are known to occur in such datasets, such as price or conformity bias. Moreover, GBR models predict taste better than aroma. This is likely because taste (e.g. bitterness) often directly relates to the corresponding chemical measurements (e.g., iso-alpha acids), whereas such a link is less clear for aromas, which often result from the interplay between multiple volatile compounds. We also find that our models are best at predicting acidity and alcohol, likely because there is a direct relation between the measured chemical compounds (acids and ethanol) and the corresponding perceived sensorial attribute (acidity and alcohol), and because even untrained consumers are generally able to recognize these flavors and aromas.

The predictions of our final models, trained on review data, hold even for blind tastings with small groups of trained tasters, as demonstrated by our ability to validate specific compounds as drivers of beer flavor and appreciation. Since adding a single compound to the extent of a noticeable difference may result in an unbalanced flavor profile, we specifically tested our identified key drivers as a combination of compounds. While this approach does not allow us to validate if a particular single compound would affect flavor and/or appreciation, our experiments do show that this combination of compounds increases consumer appreciation.

It is important to stress that, while it represents an important step forward, our approach still has several major limitations. A key weakness of the GBR model architecture is that amongst co-correlating variables, the largest main effect is consistently preferred for model building. As a result, co-correlating variables often have artificially low importance scores, both for impurity and SHAP-based methods, like we observed in the comparison to the more randomized Extra Trees models. This implies that chemicals identified as key drivers of a specific sensory feature by GBR might not be the true causative compounds, but rather co-correlate with the actual causative chemical. For example, the high importance of ethyl acetate could be (partially) attributed to the total ester content, ethanol or ethyl hexanoate (rho=0.77, rho=0.72 and rho=0.68), while ethyl phenylacetate could hide the importance of prenyl isobutyrate and ethyl benzoate (rho=0.77 and rho=0.76). Expanding our GBR model to include beer style as a parameter did not yield additional power or insight. This is likely due to style-specific chemical signatures, such as iso-alpha acids and lactic acid, that implicitly convey style information to the original model, as well as the smaller sample size per style, limiting the power to uncover style-specific patterns. This can be partly attributed to the curse of dimensionality, where the high number of parameters results in the models mainly incorporating single parameter effects, rather than complex interactions such as style-dependent effects 67 . A larger number of samples may overcome some of these limitations and offer more insight into style-specific effects. On the other hand, beer style is not a rigid scientific classification, and beers within one style often differ a lot, which further complicates the analysis of style as a model factor.

Our study is limited to beers from Belgian breweries. Although these beers cover a large portion of the beer styles available globally, some beer styles and consumer patterns may be missing, while other features might be overrepresented. For example, many Belgian ales exhibit yeast-driven flavor profiles, which is reflected in the chemical drivers of appreciation discovered by this study. In future work, expanding the scope to include diverse markets and beer styles could lead to the identification of even more drivers of appreciation and better models for special niche products that were not present in our beer set.

In addition to inherent limitations of GBR models, there are also some limitations associated with studying food aroma. Even if our chemical analyses measured most of the known aroma compounds, the total number of flavor compounds in complex foods like beer is still larger than the subset we were able to measure in this study. For example, hop-derived thiols, that influence flavor at very low concentrations, are notoriously difficult to measure in a high-throughput experiment. Moreover, consumer perception remains subjective and prone to biases that are difficult to avoid. It is also important to stress that the models are still immature and that more extensive datasets will be crucial for developing more complete models in the future. Besides more samples and parameters, our dataset does not include any demographic information about the tasters. Including such data could lead to better models that grasp external factors like age and culture. Another limitation is that our set of beers consists of high-quality end-products and lacks beers that are unfit for sale, which limits the current model in accurately predicting products that are appreciated very badly. Finally, while models could be readily applied in quality control, their use in sensory science and product development is restrained by their inability to discern causal relationships. Given that the models cannot distinguish compounds that genuinely drive consumer perception from those that merely correlate, validation experiments are essential to identify true causative compounds.

Despite the inherent limitations, dissection of our models enabled us to pinpoint specific molecules as potential drivers of beer aroma and consumer appreciation, including compounds that were unexpected and would not have been identified using standard approaches. Important drivers of beer appreciation uncovered by our models include protein levels, ethyl acetate, ethyl phenyl acetate and lactic acid. Currently, many brewers already use lactic acid to acidify their brewing water and ensure optimal pH for enzymatic activity during the mashing process. Our results suggest that adding lactic acid can also improve beer appreciation, although its individual effect remains to be tested. Interestingly, ethanol appears to be unnecessary to improve beer appreciation, both for blond beer and alcohol-free beer. Given the growing consumer interest in alcohol-free beer, with a predicted annual market growth of >7% 84 , it is relevant for brewers to know what compounds can further increase consumer appreciation of these beers. Hence, our model may readily provide avenues to further improve the flavor and consumer appreciation of both alcoholic and non-alcoholic beers, which is generally considered one of the key challenges for future beer production.

Whereas we see a direct implementation of our results for the development of superior alcohol-free beverages and other food products, our study can also serve as a stepping stone for the development of novel alcohol-containing beverages. We want to echo the growing body of scientific evidence for the negative effects of alcohol consumption, both on the individual level by the mutagenic, teratogenic and carcinogenic effects of ethanol 85 , 86 , as well as the burden on society caused by alcohol abuse and addiction. We encourage the use of our results for the production of healthier, tastier products, including novel and improved beverages with lower alcohol contents. Furthermore, we strongly discourage the use of these technologies to improve the appreciation or addictive properties of harmful substances.

The present work demonstrates that despite some important remaining hurdles, combining the latest developments in chemical analyses, sensory analysis and modern machine learning methods offers exciting avenues for food chemistry and engineering. Soon, these tools may provide solutions in quality control and recipe development, as well as new approaches to sensory science and flavor research.

Beer selection

250 commercial Belgian beers were selected to cover the broad diversity of beer styles and corresponding diversity in chemical composition and aroma. See Supplementary Fig.  S1 .

Chemical dataset

Sample preparation.

Beers within their expiration date were purchased from commercial retailers. Samples were prepared in biological duplicates at room temperature, unless explicitly stated otherwise. Bottle pressure was measured with a manual pressure device (Steinfurth Mess-Systeme GmbH) and used to calculate CO 2 concentration. The beer was poured through two filter papers (Macherey-Nagel, 500713032 MN 713 ¼) to remove carbon dioxide and prevent spontaneous foaming. Samples were then prepared for measurements by targeted Headspace-Gas Chromatography-Flame Ionization Detector/Flame Photometric Detector (HS-GC-FID/FPD), Headspace-Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC-MS), colorimetric analysis, enzymatic analysis, Near-Infrared (NIR) analysis, as described in the sections below. The mean values of biological duplicates are reported for each compound.

HS-GC-FID/FPD

HS-GC-FID/FPD (Shimadzu GC 2010 Plus) was used to measure higher alcohols, acetaldehyde, esters, 4-vinyl guaicol, and sulfur compounds. Each measurement comprised 5 ml of sample pipetted into a 20 ml glass vial containing 1.75 g NaCl (VWR, 27810.295). 100 µl of 2-heptanol (Sigma-Aldrich, H3003) (internal standard) solution in ethanol (Fisher Chemical, E/0650DF/C17) was added for a final concentration of 2.44 mg/L. Samples were flushed with nitrogen for 10 s, sealed with a silicone septum, stored at −80 °C and analyzed in batches of 20.

The GC was equipped with a DB-WAXetr column (length, 30 m; internal diameter, 0.32 mm; layer thickness, 0.50 µm; Agilent Technologies, Santa Clara, CA, USA) to the FID and an HP-5 column (length, 30 m; internal diameter, 0.25 mm; layer thickness, 0.25 µm; Agilent Technologies, Santa Clara, CA, USA) to the FPD. N 2 was used as the carrier gas. Samples were incubated for 20 min at 70 °C in the headspace autosampler (Flow rate, 35 cm/s; Injection volume, 1000 µL; Injection mode, split; Combi PAL autosampler, CTC analytics, Switzerland). The injector, FID and FPD temperatures were kept at 250 °C. The GC oven temperature was first held at 50 °C for 5 min and then allowed to rise to 80 °C at a rate of 5 °C/min, followed by a second ramp of 4 °C/min until 200 °C kept for 3 min and a final ramp of (4 °C/min) until 230 °C for 1 min. Results were analyzed with the GCSolution software version 2.4 (Shimadzu, Kyoto, Japan). The GC was calibrated with a 5% EtOH solution (VWR International) containing the volatiles under study (Supplementary Table  S7 ).

HS-SPME-GC-MS

HS-SPME-GC-MS (Shimadzu GCMS-QP-2010 Ultra) was used to measure additional volatile compounds, mainly comprising terpenoids and esters. Samples were analyzed by HS-SPME using a triphase DVB/Carboxen/PDMS 50/30 μm SPME fiber (Supelco Co., Bellefonte, PA, USA) followed by gas chromatography (Thermo Fisher Scientific Trace 1300 series, USA) coupled to a mass spectrometer (Thermo Fisher Scientific ISQ series MS) equipped with a TriPlus RSH autosampler. 5 ml of degassed beer sample was placed in 20 ml vials containing 1.75 g NaCl (VWR, 27810.295). 5 µl internal standard mix was added, containing 2-heptanol (1 g/L) (Sigma-Aldrich, H3003), 4-fluorobenzaldehyde (1 g/L) (Sigma-Aldrich, 128376), 2,3-hexanedione (1 g/L) (Sigma-Aldrich, 144169) and guaiacol (1 g/L) (Sigma-Aldrich, W253200) in ethanol (Fisher Chemical, E/0650DF/C17). Each sample was incubated at 60 °C in the autosampler oven with constant agitation. After 5 min equilibration, the SPME fiber was exposed to the sample headspace for 30 min. The compounds trapped on the fiber were thermally desorbed in the injection port of the chromatograph by heating the fiber for 15 min at 270 °C.

The GC-MS was equipped with a low polarity RXi-5Sil MS column (length, 20 m; internal diameter, 0.18 mm; layer thickness, 0.18 µm; Restek, Bellefonte, PA, USA). Injection was performed in splitless mode at 320 °C, a split flow of 9 ml/min, a purge flow of 5 ml/min and an open valve time of 3 min. To obtain a pulsed injection, a programmed gas flow was used whereby the helium gas flow was set at 2.7 mL/min for 0.1 min, followed by a decrease in flow of 20 ml/min to the normal 0.9 mL/min. The temperature was first held at 30 °C for 3 min and then allowed to rise to 80 °C at a rate of 7 °C/min, followed by a second ramp of 2 °C/min till 125 °C and a final ramp of 8 °C/min with a final temperature of 270 °C.

Mass acquisition range was 33 to 550 amu at a scan rate of 5 scans/s. Electron impact ionization energy was 70 eV. The interface and ion source were kept at 275 °C and 250 °C, respectively. A mix of linear n-alkanes (from C7 to C40, Supelco Co.) was injected into the GC-MS under identical conditions to serve as external retention index markers. Identification and quantification of the compounds were performed using an in-house developed R script as described in Goelen et al. and Reher et al. 87 , 88 (for package information, see Supplementary Table  S8 ). Briefly, chromatograms were analyzed using AMDIS (v2.71) 89 to separate overlapping peaks and obtain pure compound spectra. The NIST MS Search software (v2.0 g) in combination with the NIST2017, FFNSC3 and Adams4 libraries were used to manually identify the empirical spectra, taking into account the expected retention time. After background subtraction and correcting for retention time shifts between samples run on different days based on alkane ladders, compound elution profiles were extracted and integrated using a file with 284 target compounds of interest, which were either recovered in our identified AMDIS list of spectra or were known to occur in beer. Compound elution profiles were estimated for every peak in every chromatogram over a time-restricted window using weighted non-negative least square analysis after which peak areas were integrated 87 , 88 . Batch effect correction was performed by normalizing against the most stable internal standard compound, 4-fluorobenzaldehyde. Out of all 284 target compounds that were analyzed, 167 were visually judged to have reliable elution profiles and were used for final analysis.

Discrete photometric and enzymatic analysis

Discrete photometric and enzymatic analysis (Thermo Scientific TM Gallery TM Plus Beermaster Discrete Analyzer) was used to measure acetic acid, ammonia, beta-glucan, iso-alpha acids, color, sugars, glycerol, iron, pH, protein, and sulfite. 2 ml of sample volume was used for the analyses. Information regarding the reagents and standard solutions used for analyses and calibrations is included in Supplementary Table  S7 and Supplementary Table  S9 .

NIR analyses

NIR analysis (Anton Paar Alcolyzer Beer ME System) was used to measure ethanol. Measurements comprised 50 ml of sample, and a 10% EtOH solution was used for calibration.

Correlation calculations

Pairwise Spearman Rank correlations were calculated between all chemical properties.

Sensory dataset

Trained panel.

Our trained tasting panel consisted of volunteers who gave prior verbal informed consent. All compounds used for the validation experiment were of food-grade quality. The tasting sessions were approved by the Social and Societal Ethics Committee of the KU Leuven (G-2022-5677-R2(MAR)). All online reviewers agreed to the Terms and Conditions of the RateBeer website.

Sensory analysis was performed according to the American Society of Brewing Chemists (ASBC) Sensory Analysis Methods 90 . 30 volunteers were screened through a series of triangle tests. The sixteen most sensitive and consistent tasters were retained as taste panel members. The resulting panel was diverse in age [22–42, mean: 29], sex [56% male] and nationality [7 different countries]. The panel developed a consensus vocabulary to describe beer aroma, taste and mouthfeel. Panelists were trained to identify and score 50 different attributes, using a 7-point scale to rate attributes’ intensity. The scoring sheet is included as Supplementary Data  3 . Sensory assessments took place between 10–12 a.m. The beers were served in black-colored glasses. Per session, between 5 and 12 beers of the same style were tasted at 12 °C to 16 °C. Two reference beers were added to each set and indicated as ‘Reference 1 & 2’, allowing panel members to calibrate their ratings. Not all panelists were present at every tasting. Scores were scaled by standard deviation and mean-centered per taster. Values are represented as z-scores and clustered by Euclidean distance. Pairwise Spearman correlations were calculated between taste and aroma sensory attributes. Panel consistency was evaluated by repeating samples on different sessions and performing ANOVA to identify differences, using the ‘stats’ package (v4.2.2) in R (for package information, see Supplementary Table  S8 ).

Online reviews from a public database

The ‘scrapy’ package in Python (v3.6) (for package information, see Supplementary Table  S8 ). was used to collect 232,288 online reviews (mean=922, min=6, max=5343) from RateBeer, an online beer review database. Each review entry comprised 5 numerical scores (appearance, aroma, taste, palate and overall quality) and an optional review text. The total number of reviews per reviewer was collected separately. Numerical scores were scaled and centered per rater, and mean scores were calculated per beer.

For the review texts, the language was estimated using the packages ‘langdetect’ and ‘langid’ in Python. Reviews that were classified as English by both packages were kept. Reviewers with fewer than 100 entries overall were discarded. 181,025 reviews from >6000 reviewers from >40 countries remained. Text processing was done using the ‘nltk’ package in Python. Texts were corrected for slang and misspellings; proper nouns and rare words that are relevant to the beer context were specified and kept as-is (‘Chimay’,’Lambic’, etc.). A dictionary of semantically similar sensorial terms, for example ‘floral’ and ‘flower’, was created and collapsed together into one term. Words were stemmed and lemmatized to avoid identifying words such as ‘acid’ and ‘acidity’ as separate terms. Numbers and punctuation were removed.

Sentences from up to 50 randomly chosen reviews per beer were manually categorized according to the aspect of beer they describe (appearance, aroma, taste, palate, overall quality—not to be confused with the 5 numerical scores described above) or flagged as irrelevant if they contained no useful information. If a beer contained fewer than 50 reviews, all reviews were manually classified. This labeled data set was used to train a model that classified the rest of the sentences for all beers 91 . Sentences describing taste and aroma were extracted, and term frequency–inverse document frequency (TFIDF) was implemented to calculate enrichment scores for sensorial words per beer.

The sex of the tasting subject was not considered when building our sensory database. Instead, results from different panelists were averaged, both for our trained panel (56% male, 44% female) and the RateBeer reviews (70% male, 30% female for RateBeer as a whole).

Beer price collection and processing

Beer prices were collected from the following stores: Colruyt, Delhaize, Total Wine, BeerHawk, The Belgian Beer Shop, The Belgian Shop, and Beer of Belgium. Where applicable, prices were converted to Euros and normalized per liter. Spearman correlations were calculated between these prices and mean overall appreciation scores from RateBeer and the taste panel, respectively.

Pairwise Spearman Rank correlations were calculated between all sensory properties.

Machine learning models

Predictive modeling of sensory profiles from chemical data.

Regression models were constructed to predict (a) trained panel scores for beer flavors and quality from beer chemical profiles and (b) public reviews’ appreciation scores from beer chemical profiles. Z-scores were used to represent sensory attributes in both data sets. Chemical properties with log-normal distributions (Shapiro-Wilk test, p  <  0.05 ) were log-transformed. Missing chemical measurements (0.1% of all data) were replaced with mean values per attribute. Observations from 250 beers were randomly separated into a training set (70%, 175 beers) and a test set (30%, 75 beers), stratified per beer style. Chemical measurements (p = 231) were normalized based on the training set average and standard deviation. In total, three linear regression-based models: linear regression with first-order interaction terms (LR), lasso regression with first-order interaction terms (Lasso) and partial least squares regression (PLSR); five decision tree models, Adaboost regressor (ABR), Extra Trees (ET), Gradient Boosting regressor (GBR), Random Forest (RF) and XGBoost regressor (XGBR); one support vector machine model (SVR) and one artificial neural network model (ANN) were trained. The models were implemented using the ‘scikit-learn’ package (v1.2.2) and ‘xgboost’ package (v1.7.3) in Python (v3.9.16). Models were trained, and hyperparameters optimized, using five-fold cross-validated grid search with the coefficient of determination (R 2 ) as the evaluation metric. The ANN (scikit-learn’s MLPRegressor) was optimized using Bayesian Tree-Structured Parzen Estimator optimization with the ‘Optuna’ Python package (v3.2.0). Individual models were trained per attribute, and a multi-output model was trained on all attributes simultaneously.

Model dissection

GBR was found to outperform other methods, resulting in models with the highest average R 2 values in both trained panel and public review data sets. Impurity-based rankings of the most important predictors for each predicted sensorial trait were obtained using the ‘scikit-learn’ package. To observe the relationships between these chemical properties and their predicted targets, partial dependence plots (PDP) were constructed for the six most important predictors of consumer appreciation 74 , 75 .

The ‘SHAP’ package in Python (v0.41.0) was implemented to provide an alternative ranking of predictor importance and to visualize the predictors’ effects as a function of their concentration 68 .

Validation of causal chemical properties

To validate the effects of the most important model features on predicted sensory attributes, beers were spiked with the chemical compounds identified by the models and descriptive sensory analyses were carried out according to the American Society of Brewing Chemists (ASBC) protocol 90 .

Compound spiking was done 30 min before tasting. Compounds were spiked into fresh beer bottles, that were immediately resealed and inverted three times. Fresh bottles of beer were opened for the same duration, resealed, and inverted thrice, to serve as controls. Pairs of spiked samples and controls were served simultaneously, chilled and in dark glasses as outlined in the Trained panel section above. Tasters were instructed to select the glass with the higher flavor intensity for each attribute (directional difference test 92 ) and to select the glass they prefer.

The final concentration after spiking was equal to the within-style average, after normalizing by ethanol concentration. This was done to ensure balanced flavor profiles in the final spiked beer. The same methods were applied to improve a non-alcoholic beer. Compounds were the following: ethyl acetate (Merck KGaA, W241415), ethyl hexanoate (Merck KGaA, W243906), isoamyl acetate (Merck KGaA, W205508), phenethyl acetate (Merck KGaA, W285706), ethanol (96%, Colruyt), glycerol (Merck KGaA, W252506), lactic acid (Merck KGaA, 261106).

Significant differences in preference or perceived intensity were determined by performing the two-sided binomial test on each attribute.

Reporting summary

Further information on research design is available in the  Nature Portfolio Reporting Summary linked to this article.

Data availability

The data that support the findings of this work are available in the Supplementary Data files and have been deposited to Zenodo under accession code 10653704 93 . The RateBeer scores data are under restricted access, they are not publicly available as they are property of RateBeer (ZX Ventures, USA). Access can be obtained from the authors upon reasonable request and with permission of RateBeer (ZX Ventures, USA).  Source data are provided with this paper.

Code availability

The code for training the machine learning models, analyzing the models, and generating the figures has been deposited to Zenodo under accession code 10653704 93 .

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Acknowledgements

We thank all lab members for their discussions and thank all tasting panel members for their contributions. Special thanks go out to Dr. Karin Voordeckers for her tremendous help in proofreading and improving the manuscript. M.S. was supported by a Baillet-Latour fellowship, L.C. acknowledges financial support from KU Leuven (C16/17/006), F.A.T. was supported by a PhD fellowship from FWO (1S08821N). Research in the lab of K.J.V. is supported by KU Leuven, FWO, VIB, VLAIO and the Brewing Science Serves Health Fund. Research in the lab of T.W. is supported by FWO (G.0A51.15) and KU Leuven (C16/17/006).

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These authors contributed equally: Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni.

Authors and Affiliations

VIB—KU Leuven Center for Microbiology, Gaston Geenslaan 1, B-3001, Leuven, Belgium

Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni, Lloyd Cool, Beatriz Herrera-Malaver, Florian A. Theßeling & Kevin J. Verstrepen

CMPG Laboratory of Genetics and Genomics, KU Leuven, Gaston Geenslaan 1, B-3001, Leuven, Belgium

Leuven Institute for Beer Research (LIBR), Gaston Geenslaan 1, B-3001, Leuven, Belgium

Laboratory of Socioecology and Social Evolution, KU Leuven, Naamsestraat 59, B-3000, Leuven, Belgium

Lloyd Cool, Christophe Vanderaa & Tom Wenseleers

VIB Bioinformatics Core, VIB, Rijvisschestraat 120, B-9052, Ghent, Belgium

Łukasz Kreft & Alexander Botzki

AB InBev SA/NV, Brouwerijplein 1, B-3000, Leuven, Belgium

Philippe Malcorps & Luk Daenen

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Contributions

S.P., M.S. and K.J.V. conceived the experiments. S.P., M.S. and K.J.V. designed the experiments. S.P., M.S., M.R., B.H. and F.A.T. performed the experiments. S.P., M.S., L.C., C.V., L.K., A.B., P.M., L.D., T.W. and K.J.V. contributed analysis ideas. S.P., M.S., L.C., C.V., T.W. and K.J.V. analyzed the data. All authors contributed to writing the manuscript.

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Correspondence to Kevin J. Verstrepen .

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Schreurs, M., Piampongsant, S., Roncoroni, M. et al. Predicting and improving complex beer flavor through machine learning. Nat Commun 15 , 2368 (2024). https://doi.org/10.1038/s41467-024-46346-0

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• Quantum Research

Landmark IBM error correction paper published on the cover of Nature

Ibm has created a quantum error-correcting code about 10 times more efficient than prior methods — a milestone in quantum computing research..

27 Mar 2024

Rafi Letzter

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Today, the paper detailing those results was published as the cover story of the scientific journal Nature. 1

Last year, we demonstrated that quantum computers had entered the era of utility , where they are now capable of running quantum circuits better than classical computers can. Over the next few years, we expect to find speedups over classical computing and extract business value from these systems. But there are also algorithms with mathematically proven speedups over leading classical methods that require tuning quantum circuits with hundreds of millions, to billions, of gates. Expanding our quantum computing toolkit to include those algorithms requires us to find a way to compute that corrects the errors inherent to quantum systems — what we call quantum error correction.

Read how a paper from IBM and UC Berkeley shows a path toward useful quantum computing

Quantum error correction requires that we encode quantum information into more qubits than we would otherwise need. However, achieving quantum error correction in a scalable and fault-tolerant way has, to this point, been out of reach without considering scales of one million or more physical qubits. Our new result published today greatly reduces that overhead, and shows that error correction is within reach.

While quantum error correction theory dates back three decades, theoretical error correction techniques capable of running valuable quantum circuits on real hardware have been too impractical to deploy on quantum system. In our new paper, we introduce a new code, which we call the gross code , that overcomes that limitation.

This code is part of our broader strategy to bring useful quantum computing to the world.

While error correction is not a solved problem, this new code makes clear the path toward running quantum circuits with a billion gates or more on our superconducting transmon qubit hardware.

What is error correction?

Quantum information is fragile and susceptible to noise — environmental noise, noise from the control electronics, hardware imperfections, state preparation and measurement errors, and more. In order to run quantum circuits with millions to billions of gates, quantum error correction will be required.

Error correction works by building redundancy into quantum circuits. Many qubits work together to protect a piece of quantum information that a single qubit might lose to errors and noise.

On classical computers, the concept of redundancy is pretty straightforward. Classical error correction involves storing the same piece of information across multiple bits. Instead of storing a 1 as a 1 or a 0 as a 0, the computer might record 11111 or 00000. That way, if an error flips a minority of bits, the computer can treat 11001 as 1, or 10001 as 0. It’s fairly easy to build in more redundancy as needed to introduce finer error correction.

Things are more complicated on quantum computers. Quantum information cannot be copied and pasted like classical information, and the information stored in quantum bits is more complicated than classical data. And of course, qubits can decohere quickly, forgetting their stored information.

Research has shown that quantum fault tolerance is possible, and there are many error correcting schemes on the books. The most popular one is called the “surface code,” where qubits are arranged on a two-dimensional lattice and units of information are encoded into sub-units of the lattice.

But these schemes have problems.

First, they only work if the hardware’s error rates are better than some threshold determined by the specific scheme and the properties of the noise itself — and beating those thresholds can be a challenge.

Second, many of those schemes scale inefficiently — as you build larger quantum computers, the number of extra qubits needed for error correction far outpaces the number of qubits the code can store.

At practical code sizes where many errors can be corrected, the surface code uses hundreds of physical qubits per encoded qubit worth of quantum information, or more. So, while the surface code is useful for benchmarking and learning about error correction, it’s probably not the end of the story for fault-tolerant quantum computers.

Exploring “good” codes

The field of error correction buzzed with excitement in 2022 when Pavel Panteleev and Gleb Kalachev at Moscow State University published a landmark paper proving that there exist asymptotically good codes — codes where the number of extra qubits needed levels off as the quality of the code increases.

This has spurred a lot of new work in error correction, especially in the same family of codes that the surface code hails from, called quantum low-density parity check, or qLDPC codes. These qLDPC codes are quantum error correcting codes where the operations responsible for checking whether or not an error has occurred only have to act on a few qubits, and each qubit only has to participate in a few checks.

But this work was highly theoretical, focused on proving the possibility of this kind of error correction. It didn’t take into account the real constraints of building quantum computers. Most importantly, some qLDPC codes would require many qubits in a system to be physically linked to high numbers of other qubits. In practice, that would require quantum processors folded in on themselves in psychedelic hyper-dimensional origami, or entombed in wildly complex rats’ nests of wires.

In our paper, we looked for fault-tolerant quantum memory with a low qubit overhead, high error threshold, and a large code distance.

Bravyi, S., Cross, A., Gambetta, J., et al. High-threshold and low-overhead fault-tolerant quantum memory. Nature (2024). https://doi.org/10.1038/s41586-024-07107-7

In our Nature paper, we specifically looked for fault-tolerant quantum memory with a low qubit overhead, high error threshold, and a large code distance.

Let’s break that down:

Fault-tolerant: The circuits used to detect errors won't spread those errors around too badly in the process, and they can be corrected faster than they occur

Quantum memory: In this paper, we are only encoding and storing quantum information. We are not yet doing calculations on the encoded quantum information.

High error threshold: The higher the threshold, the higher amount of hardware errors the code will allow while still being fault tolerant. We were looking for a code that allowed us to operate the memory reliably at physical error rates as high as 0.001, so we wanted a threshold close to 1 percent.

Large code distance: Distance is the measure of how robust the code is — how many errors it takes to completely flip the value from 0 to 1 and vice versa. In the case of 00000 and 11111, the distance is 5. We wanted one with a large code distance that corrects more than just a couple errors. Large-distance codes can suppress noise by orders of magnitude even if the hardware quality is only marginally better than the code threshold. In contrast, codes with a small distance become useful only if the hardware quality is significantly better than the code threshold.

Low qubit overhead: Overhead is the number of extra qubits required for correcting errors. We want the number of qubits required to do error correction to be far less than we need for a surface code of the same quality, or distance.

We’re excited to report that our team’s mathematical analysis found concrete examples of qLDPC codes that met all of these required conditions. These fall into a family of codes called “Bivariate Bicycle (BB)” codes. And they are going to shape not only our research going forward, but how we architect physical quantum systems.

The gross code

While many qLDPC code families show great promise for advancing error correction theory, most aren’t necessarily pragmatic for real-world application. Our new codes lend themselves better to practical implementation because each qubit needs only to connect to six others, and the connections can be routed on just two layers.

To get an idea of how the qubits are connected, imagine they are put onto a square grid, like a piece of graph paper. Curl up this piece of graph paper so that it forms a tube, and connect the ends of the tube to make a donut. On this donut, each qubit is connected to its four neighbors and two qubits that are farther away on the surface of the donut. No more connections needed.

The good news is we don’t actually have to embed our qubits onto a donut to make these codes work — we can accomplish this by folding the surface differently and adding a few other long-range connectors to satisfy mathematical requirements of the code. It’s an engineering challenge, but much more feasible than a hyper-dimensional shape.

We explored some codes that have this architecture and focused on a particular [[144,12,12]] code. We call this code the gross code because 144 is a gross (or a dozen dozen). It requires 144 qubits to store data — but in our specific implementation, it also uses another 144 qubits to check for errors, so this instance of the code uses 288 qubits. It stores 12 logical qubits well enough that fewer than 12 errors can be detected. Thus: [[144,12,12]].

Using the gross code, you can protect 12 logical qubits for roughly a million cycles of error checks using 288 qubits. Doing roughly the same task with the surface code would require nearly 3,000 qubits.

This is a milestone. We are still looking for qLDPC codes with even more efficient architectures, and our research on performing error-corrected calculations using these codes is ongoing. But with this publication, the future of error correction looks bright.

Fig. 1 | Tanner graphs of surface and BB codes.

Fig. 1 | Tanner graphs of surface and BB codes. a, Tanner graph of a surface code, for comparison. b, Tanner graph of a BB code with parameters [[144, 12, 12]] embedded into a torus. Any edge of the Tanner graph connects a data and a check vertex. Data qubits associated with the registers q(L) and q(R) are shown by blue and orange circles. Each vertex has six incident edges including four short-range edges (pointing north, south, east and west) and two long-range edges. We only show a few long-range edges to avoid clutter. Dashed and solid edges indicate two planar subgraphs spanning the Tanner graph, see the Methods. c, Sketch of a Tanner graph extension for measuring Z ˉ \={Z} and X ˉ \={X} following ref. 50, attaching to a surface code. The ancilla corresponding to the X ˉ \={X} measurement can be connected to a surface code, enabling load-store operations for all logical qubits by means of quantum teleportation and some logical unitaries. This extended Tanner graph also has an implementation in a thickness-2 architecture through the A and B edges (Methods).

Fig. 2 | Syndrome measurement circuit.

Fig. 2 | Syndrome measurement circuit. Full cycle of syndrome measurements relying on seven layers of CNOTs. We provide a local view of the circuit that only includes one data qubit from each register q(L) and q(R) . The circuit is symmetric under horizontal and vertical shifts of the Tanner graph. Each data qubit is coupled by CNOTs with three X-check and three Z-check qubits: see the Methods for more details.

Why error correction matters

Today, our users benefit from novel error mitigation techniques — methods for reducing or eliminating the effect of noise when calculating observables, alongside our work suppressing errors at the hardware level. This work brought us into the era of quantum utility. IBM researchers and partners all over the world are exploring practical applications of quantum computing today with existing quantum systems. Error mitigation lets users begin looking for quantum advantage on real quantum hardware.

But error mitigation comes with its own overhead, requiring running the same executions repeatedly so that classical computers can use statistical methods to extract an accurate result. This limits the scale of the programs you can run, and increasing that scale requires tools beyond error mitigation — like error correction.

Last year, we debuted a new roadmap laying out our plan to continuously improve quantum computers over the next decade. This new paper is an important example of how we plan to continuously increasing the complexity (number of gates) of the quantum circuits that can be run on our hardware. It will allow us to transition from running circuits with 15,000 gates to 100 million, or even 1 billion gates.

Bravyi, S., Cross, A.W., Gambetta, J.M. et al. High-threshold and low-overhead fault-tolerant quantum memory. Nature 627, 778–782 (2024). https://doi.org/10.1038/s41586-024-07107-7

Start using our 100+ qubit systems

Keep exploring, computing with error-corrected quantum computers.

Logical gates with magic state distillation

Error correcting codes for near-term quantum computers

A new paper from IBM and UC Berkeley shows a path toward useful quantum computing

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How to Create a Structured Research Paper Outline | Example

Published on August 7, 2022 by Courtney Gahan . Revised on August 15, 2023.

A research paper outline is a useful tool to aid in the writing process , providing a structure to follow with all information to be included in the paper clearly organized.

A quality outline can make writing your research paper more efficient by helping to:

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Research paper outline example, how to write a research paper outline, formatting your research paper outline, language in research paper outlines.

• Definition of measles
• Rise in cases in recent years in places the disease was previously eliminated or had very low rates of infection
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There are three different kinds of research paper outline: alphanumeric, full-sentence and decimal outlines. The differences relate to formatting and style of writing.

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• Full-sentence

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Essentially the same as the alphanumeric outline, but with the text written in full sentences rather than short points.

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A decimal outline is similar in format to the alphanumeric outline, but with a different numbering system: 1, 1.1, 1.2, etc. Text is written as short notes rather than full sentences.

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To write an effective research paper outline, it is important to pay attention to language. This is especially important if it is one you will show to your teacher or be assessed on.

There are four main considerations: parallelism, coordination, subordination and division.

Parallelism: Be consistent with grammatical form

Parallel structure or parallelism is the repetition of a particular grammatical form within a sentence, or in this case, between points and sub-points. This simply means that if the first point is a verb , the sub-point should also be a verb.

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• Include different regions, focusing on the different arguments from those against immunization

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Your chosen subheadings should hold the same significance as each other, as should all first sub-points, secondary sub-points, and so on.

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Your headings should be divided into two or more subsections. There is no limit to how many subsections you can include under each heading, but keep in mind that the information will be structured into a paragraph during the writing stage, so you should not go overboard with the number of sub-points.

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Fatal Traffic Risks With a Total Solar Eclipse in the US

• 1 Department of Medicine, University of Toronto, Toronto, Ontario, Canada
• 2 Evaluative Clinical Science Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
• 3 Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
• 4 Division of General Internal Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
• 5 Center for Leading Injury Prevention Practice Education & Research, Toronto, Ontario, Canada
• 6 Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
• 7 Centre for Clinical Epidemiology & Evaluation, University of British Columbia, Vancouver, British Columbia, Canada

A total solar eclipse occurs when the moon temporarily obscures the sun and casts a dark shadow across the earth. This astronomical spectacle has been described for more than 3 millennia and can be predicted with high precision. Eclipse-related solar retinopathy (vision loss from staring at the sun) is an established medical complication; however, other medical outcomes have received little attention. 1

Read More About

Redelmeier DA , Staples JA. Fatal Traffic Risks With a Total Solar Eclipse in the US. JAMA Intern Med. Published online March 25, 2024. doi:10.1001/jamainternmed.2023.5234

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10.9: Developing a Final Draft of a Research Paper

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• Athena Kashyap & Erika Dyquisto
• City College of San Francisco via ASCCC Open Educational Resources Initiative

Given all the time and effort you have put into your research project, you will want to make sure that your final draft represents your best work. This requires taking the time to revise and edit your paper carefully.

You may feel like you need a break from your paper before you revise and edit it. That is understandable—but leave yourself with enough time to complete this important stage of the writing process. In this section, you will learn the following specific strategies that are useful for revising and editing a research paper:

• How to evaluate and improve the overall organization and cohesion
• How to maintain an appropriate style and tone
• How to use checklists to identify and correct any errors in language, citations, and formatting

Revising Your Paper: Organization and Cohesion

When writing a research paper, it is easy to become overly focused on editorial details, such as the proper format for bibliographical entries. These details do matter. However, before you begin to address them, it is important to spend time reviewing and revising the content of the paper. It is also important to revise your content before editing for word choice and tone so that you only have to complete that more detailed level of editing once.

A good research paper is both organized and cohesive. Organization means that your argument flows logically from one point to the next. Cohesion means that the elements of your paper work together smoothly and naturally. In a cohesive research paper, information from research is seamlessly integrated with the writer’s ideas.

Revise to Improve Organization

When you revise to improve organization, you look at the flow of ideas throughout the essay as a whole and within individual paragraphs. You check to see that your essay moves logically from the introduction to the body paragraphs to the conclusion, and that each section reinforces your thesis. You also should make sure the transitions, or logical connections, between one paragraph and the next -- and especially one section and the next -- are clear. Use the following checklist to help you, but be sure the revise at the organizational level before you revise at the paragraph level.

Revision: Organization

At the essay level

• Does my introduction proceed clearly from the opening to the thesis?
• Does each body paragraph have a clear main idea that relates to the thesis?
• Do the main ideas in the body paragraphs flow in a logical order? Is each paragraph connected to the one before it?
• Do I need to add or revise topic sentences or transitions to make the overall flow of ideas clearer?
• Does my conclusion summarize my main ideas and revisit my thesis?

At the paragraph level

• Does the topic sentence clearly state the main idea?
• Do the details in the paragraph relate to the main idea?
• Do I need to recast any sentences or add transition words or sentences to improve the flow of sentences? See cohesion for more specifics about revising for this.

To help you decide whether your essay is organized correctly, try the low-tech way or seeing what paragraph organization works best. It can be especially cumbersome to reorganize paragraphs on a computer, so sometimes doing this on paper works better. Here are the steps:

1. Print out your paper one-sided. Add in spaces between paragraphs so that no paragraphs are split between two pages.

2. Cut apart your paragraphs (but keep each paragraph together).

3. Give the cut-apart paragraphs to a friend, and see if they can figure out which order they should go in. If they decide it goes in the order you already have your paper in, your paper is probably organized well already. If they cannot figure out the order, ask them to explain to you which paragraphs they are unsure about. This should give you a clue about where you should reorganize your paragraphs, if transitions need to be added, or if there is a missing chunk of information that should be developed to improve the overall cohesion of the paper.

Revise to Improve Paragrah Cohesion

In a research paper, problems with cohesion usually occur when a writer has trouble integrating source material. If facts or quotations have been awkwardly dropped into a paragraph, they distract or confuse the reader instead of working to support the writer’s point. Overusing paraphrased and quoted material has the same effect. Use the next checklist to review your essay for paragraph cohesion. Miguel did this in the introductory paragraph of his research paper:

Writers choose transitions carefully to show the relationships between ideas—for instance, to make a comparison or elaborate on a point with examples. Make sure your transitions suit your purpose and avoid overusing the same ones.

Revision: Cohesion

• Does the opening of the paper clearly connect to the broader topic and thesis? Make sure entertaining quotes or anecdotes serve a purpose.
• Have I included support from research for each main point in the body of my paper?
• Have I included introductory material before any quotations? Quotations should never stand alone in a paragraph.
• Does paraphrased and quoted material clearly serve to develop my own points?
• Do I need to add to or revise parts of the paper to help the reader understand how certain information from a source is relevant?
• Are there any places where I have overused material from sources?
• Does my conclusion make sense based on the rest of the paper? Make sure any new questions or suggestions in the conclusion are clearly linked to earlier material.

As Miguel reread his draft, he looked to see how the different pieces fit together to prove his thesis. He realized that some of his supporting information needed to be integrated more carefully and decided to omit some details entirely. Read the following paragraph, first without Miguel’s revisions and then with them.

Follow these steps to begin revising your paper to improve cohesion.

• Print out a hard copy of your paper, or work with your printout from the first exercise on this page.
• Read the body paragraphs of your paper first. Each time you come to a place that cites information from sources, ask yourself what purpose this information serves. Check that it helps support a point and that it is clearly related to the other sentences in the paragraph.
• Be sure there is a direct connection between the idea in the sentence before the quote or paraphrase, as well as between the idea in the quote or paraphrase and the sentence that comes after it.
• Identify unnecessary information from sources that you can delete.
• Identify places where you need to revise your writing so that readers understand the significance of the details cited from sources.
• Skim the body paragraphs once more, looking for any paragraphs that seem packed with citations. Review these paragraphs carefully for cohesion.
• Review your introduction and conclusion. Make sure the information presented connects directly with ideas in the body of the paper.
• Revise the places you identified in your paper to improve cohesion.

Collaboration

Exchange papers with a classmate. On the classmate's paper, identify unnecessary information from sources that you can delete. Also, note any areas that would benefit from clarification or a clearer connection. Return and compare notes.

Writing at Work

Understanding cohesion can also benefit you in the workplace, especially when you have to write and deliver a presentation. Speakers sometimes rely on cute graphics or funny quotations to hold their audience’s attention. If you choose to use these elements, make sure they work well with the substantive content of your presentation. For example, if you are asked to give a financial presentation, and the financial report shows that the company lost money, funny illustrations would not be relevant or appropriate for the presentation.

Using a Consistent Style and Tone

Once you are certain that the content of your paper fulfills your purpose, you can begin revising to improve style and tone. Style refers to the way you use language as a writer—the sentence structures you use and the word choices you make. Tone is the attitude toward your subject and audience that you convey through your word choice. Together, your style and tone create the voice of your paper, or how you come across to readers.

Determining an Appropriate Style and Tone

Although accepted writing styles will vary within different disciplines, the underlying goal is the same—to come across to your readers as a knowledgeable, authoritative guide. Writing about research is like being a tour guide who walks readers through a topic. A stuffy, overly formal tour guide can make readers feel put off or intimidated. Too much informality or humor can make readers wonder whether the tour guide really knows what he or she is talking about. Extreme or emotionally charged language comes across as unbalanced or biased.

• Editing for Register and Tone. Authored by: Dr. Satu Manninen. License: All Rights Reserved. License Terms: Standard YouTube License.

To help prevent being overly formal or informal, determine an appropriate style and tone at the beginning of the research process. Consider your topic and audience because these can help dictate style and tone. For example, a paper on new breakthroughs in cancer research should be more formal than a paper on ways to get a good night’s sleep, partly because the audiences are likely different.

A strong research paper comes across as straightforward, appropriately academic, and serious. It is generally best to avoid writing in the first or second person, as this can make your paper seem overly subjective and opinion based. Use the next checklist on style to review your paper for other issues that affect style and tone. You can check for consistency at the end of the writing process. Checking for consistency is discussed later in this section.

• My paper avoids excessive wordiness.
• My sentences are varied in length and structure.
• I have generally avoided using first-person pronouns, such as "I," and definitely avoided the second person, "you."
• I have used the active voice whenever possible.
• I have defined specialized terms that might be unfamiliar to readers.
• I have used clear, straightforward language whenever possible and avoided unnecessary jargon.
• My paper states my point of view using a balanced tone—neither too indecisive nor too forceful.
• I have used the simple present tense when referring to what other people did in their research.

Word Choice

Note that word choice is an especially important aspect of style. In addition to checking the points noted on the above Checklist, review your paper to make sure your language is precise, conveys no unintended connotations, and is free of biases. Here are some of the points to check for:

• Vague or imprecise terms
• Repetition of the same phrases (“Smith states…, Jones states…”) to introduce quoted and paraphrased material (For a full list of strong verbs to use with in-text quotations, see Chapter 11 .)
• Exclusive use of masculine pronouns or awkward use of he or she
• Use of language with negative connotations, such as haughty or ridiculous
• Use of outdated or offensive terms to refer to specific ethnic, racial, or religious groups

Using plural nouns and pronouns or recasting a sentence can help you keep your language gender inclusive while avoiding awkwardness. Consider the following examples:

• Gender-biased: When a writer cites a source in the body of his paper, he must list it on his references page.
• Awkward: When a writer cites a source in the body of his or her paper, he or she must list it on his or her references page.
• Inclusive: Writers must list any sources cited in the body of their paper on the references page

Keeping Your Style Consistent

As you revise your paper, make sure your style is consistent throughout. Look for instances where a word, phrase, or sentence just does not seem to fit with the rest of the writing. It is best to reread for style after you have completed the other revisions so that you are not distracted by any larger content issues. Revising strategies you can use include the following:

• Read your paper aloud. Sometimes your ears catch inconsistencies that your eyes miss.
• Share your paper with another reader whom you trust to give you honest feedback. It is often difficult to evaluate one’s own style objectively—especially in the final phase of a challenging writing project. Another reader may be more likely to notice instances of wordiness, confusing language, or other issues that affect style and tone.
• Line-edit your paper slowly, sentence by sentence. You may even wish to use a sheet of paper to cover everything on the page except the paragraph you are editing—that forces you to read slowly and carefully. Mark any areas where you notice problems in style or tone, and then take time to rework those sections.

On reviewing his paper, Miguel found that he had generally used an appropriately academic style and tone. However, he noticed one glaring exception—his first paragraph. He realized there were places where his overly informal writing could come across as unserious or, worse, disparaging. Revising his word choice and omitting a humorous aside helped Miguel maintain a consistent tone. Read his revisions.

Using the "Style" checklist, line-edit your paper. You may use either of these techniques:

• Print out a hard copy of your paper, or work with your printout from the previous exercise. Read it line by line. Check for the issues noted on the "Style" checklist, as well as any other aspects of your writing style you or your instructor have previously identified as areas for improvement. Mark any areas where you notice problems in style or tone, and then take time to rework those sections.
• If you prefer to work with an electronic document, use the menu options in your word-processing program to enlarge the text to 150 or 200 percent of the original size. Make sure the type is large enough that you can focus on only one paragraph at a time. Read the paper line by line as described in step 1. Highlight any areas where you notice problems in style or tone, and then take time to rework those sections.

Proofreading Your Paper

The following video will give an overview of some proofreading strategies.

Proofreading strategies. Authored by: Coventry University, Centre for Academic Writing. License: All Rights Reserved. License Terms: Standard YouTube License.

After revising your paper to address problems in content or style, you will complete one final editorial review. Perhaps you already have caught and corrected minor mistakes during previous revisions. Nevertheless, give your draft a final edit to make sure it is error-free. Your final edit should focus on two broad areas:

• Errors in grammar, mechanics, usage, and spelling
• Errors in citing and formatting sources

For in-depth information on these two topics, see Chapter 11 , Chapter 12 and Chapter 13 .

Given how much work you have put into your research paper, you will want to check for any errors that could distract or confuse your readers. Using the spell-checking feature in your word-processing program can be helpful—but this should not replace a full, careful review of your document. Be sure to check for any errors that may have come up frequently for you in the past. Grammar check can also sometimes be helpful, but they may not catch grammar errors in the more complicated sentences that college students write. Be sure to do your own proofreading; however, if you want to get someone else's eyes, ask them to either circle or underline where they see a problem (but not fix it), or write an "x" next to the line with the proofreading mistake. It is then up to you to find the actual mistake. Either way, you should figure out what the mistake is and fix it yourself.

Proofreading well is essential at many workplaces. Proofreading mistakes -- even in short emails -- can give the impression that you do not pay attention to detail or that you are not knowledable. Even though it is not necessarily true that writing is a basic skill, many people in the workplace view it as such, so proofreading is a skill you should have under control when you are in the workpplace so that people don't get the wrong impression of you.

Checking Citations and Formatting

When editing a research paper, it is also important to check that you have cited sources properly and formatted your document according to the specified guidelines. There are two reasons for this. First and foremost, citing sources correctly ensures that you have given proper credit to other people for ideas and information that helped you in your work. Second, using correct formatting establishes your paper as one student’s contribution to the work developed by and and the conversation in a larger academic community.

Citations and Formatting

• Within the body of my paper, each fact or idea taken from a source (whether quoted of paraphrased) is credited to the correct source.
• Each in-text citation includes the source author’s name (or, where applicable, the organization name or source title) and page number (if there is one -- MLA format). I have used the correct format of in-text and parenthetical citations.
• Each source cited in the body of my paper has a corresponding entry in the references section of my paper.
• My references section includes a centered heading that says "Works Cited" and double-spaced, alphabetized entries.
• Each entry in my references section is indented on the second line and all subsequent lines (hanging indent).
• Each entry in my references section includes all the necessary information for that source type, in the correct sequence and format.
• The margins of my paper are set at one inch. Text is double spaced and set in a standard 12-point font.

For detailed guidelines on APA and MLA citation and formatting, see Chapter 13 .

Following APA or MLA citation and formatting guidelines may require time and effort. However, it is good practice for learning how to follow accepted conventions in any professional field. Many large corporations create a style manual with guidelines for editing and formatting documents produced by that corporation. Employees follow the style manual when creating internal documents and documents for publication.

Contributors and Attributions

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• Adapted from Writing for Success . Provided by: The Saylor Foundation. License: CC-NC-SA 3.0 .

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Title: uni-smart: universal science multimodal analysis and research transformer.

Abstract: In scientific research and its application, scientific literature analysis is crucial as it allows researchers to build on the work of others. However, the fast growth of scientific knowledge has led to a massive increase in scholarly articles, making in-depth literature analysis increasingly challenging and time-consuming. The emergence of Large Language Models (LLMs) has offered a new way to address this challenge. Known for their strong abilities in summarizing texts, LLMs are seen as a potential tool to improve the analysis of scientific literature. However, existing LLMs have their own limits. Scientific literature often includes a wide range of multimodal elements, such as molecular structure, tables, and charts, which are hard for text-focused LLMs to understand and analyze. This issue points to the urgent need for new solutions that can fully understand and analyze multimodal content in scientific literature. To answer this demand, we present Uni-SMART (Universal Science Multimodal Analysis and Research Transformer), an innovative model designed for in-depth understanding of multimodal scientific literature. Through rigorous quantitative evaluation across several domains, Uni-SMART demonstrates superior performance over leading text-focused LLMs. Furthermore, our exploration extends to practical applications, including patent infringement detection and nuanced analysis of charts. These applications not only highlight Uni-SMART's adaptability but also its potential to revolutionize how we interact with scientific literature.

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FACT SHEET: President   Biden Issues Executive Order and Announces New Actions to Advance Women’s Health Research and   Innovation

In his State of the Union address, President Biden laid out his vision for transforming women’s health research and improving women’s lives all across America. The President called on Congress to make a bold, transformative investment of $12 billion in new funding for women’s health research. This investment would be used to create a Fund for Women’s Health Research at the National Institutes of Health (NIH) to advance a cutting-edge, interdisciplinary research agenda and to establish a new nationwide network of research centers of excellence and innovation in women’s health—which would serve as a national gold standard for women’s health research across the lifespan.

It is long past time to ensure women get the answers they need when it comes to their health—from cardiovascular disease to autoimmune diseases to menopause-related conditions. To pioneer the next generation of discoveries, the President and the First Lady launched the first-ever White House Initiative on Women’s Health Research , which aims to fundamentally change how we approach and fund women’s health research in the United States.

Today, President Biden is signing a new Executive Order that will direct the most comprehensive set of executive actions ever taken to expand and improve research on women’s health. These directives will ensure women’s health is integrated and prioritized across the federal research portfolio and budget, and will galvanize new research on a wide range of topics, including women’s midlife health.

The President and First Lady are also announcing more than twenty new actions and commitments by federal agencies, including through the U.S. Department of Health and Human Services (HHS), the Department of Defense (DoD), the Department of Veterans Affairs (VA), and the National Science Foundation (NSF). This includes the launch of a new NIH-wide effort that will direct key investments of $200 million in Fiscal Year 2025 to fund new, interdisciplinary women’s health research—a first step towards the transformative central Fund on Women’s Health that the President has called on Congress to invest in. These actions also build on the First Lady’s announcement last month of the Advanced Research Projects Agency for Health (ARPA-H) Sprint for Women’s Health , which committed $100 million towards transformative research and development in women’s health.

Today, the President is issuing an Executive Order that will:

• Integrate Women’s Health Across the Federal Research Portfolio . The Executive Order directs the Initiative’s constituent agencies to develop and strengthen research and data standards on women’s health across all relevant research and funding opportunities, with the goal of helping ensure that the Administration is better leveraging every dollar of federal funding for health research to improve women’s health. These actions will build on the NIH’s current policy to ensure that research it funds considers women’s health in the development of study design and in data collection and analysis. Agencies will take action to ensure women’s health is being considered at every step in the research process—from the applications that prospective grantees submit to the way that they report on grant implementation.
• Prioritize Investments in Women’s Health Research . The Executive Order directs the Initiative’s constituent agencies to prioritize funding for women’s health research and encourage innovation in women’s health, including through ARPA-H and multi-agency initiatives such as the Small Business Innovation Research Program and the Small Business Technology Transfer Program. These entities are dedicated to high-impact research and innovation, including through the support of early-stage small businesses and entrepreneurs engaged in research and innovation. The Executive Order further directs HHS and NSF to study ways to leverage artificial intelligence to advance women’s health research. These additional investments—across a wide range of agencies—will support innovation and open new doors to breakthroughs in women’s health.
• Galvanize New Research on Women’s Midlife Health .  To narrow research gaps on diseases and conditions associated with women’s midlife health or that are more likely to occur after menopause, such as rheumatoid arthritis, heart attack, and osteoporosis, the President is directing HHS to: expand data collection efforts related to women’s midlife health; launch a comprehensive research agenda that will guide future investments in menopause-related research; identify ways to improve management of menopause-related issues and the clinical care that women receive; and develop new resources to help women better understand their options for menopause-related symptoms prevention and treatment. The Executive Order also directs the DoD and VA to study and take steps to improve the treatment of, and research related to, menopause for Service women and women veterans.
• Assess Unmet Needs to Support Women’s Health Research . The Executive Order directs the Office of Management and Budget and the Gender Policy Council to lead a robust effort to assess gaps in federal funding for women’s health research and identify changes—whether statutory, regulatory, or budgetary—that are needed to maximally support the broad scope of women’s health research across the federal government. Agencies will also be required to report annually on their investments in women’s health research, as well as progress towards their efforts to improve women’s health.

Today, agencies are also announcing new actions they are taking to promote women’s health research , as part of their ongoing efforts through the White House Initiative on Women’s Health Research. Agencies are announcing actions to:

Prioritize and Increase Investments in Women’s Health Research

• Launch an NIH-Cross Cutting Effort to Transform Women’s Health Throughout the Lifespan. NIH is launching an NIH-wide effort to close gaps in women’s health research across the lifespan. This effort—which will initially be supported by $200 million from NIH beginning in FY 2025—will allow NIH to catalyze interdisciplinary research, particularly on issues that cut across the traditional mandates of the institutes and centers at NIH. It will also allow NIH to launch ambitious, multi-faceted research projects such as research on the impact of perimenopause and menopause on heart health, brain health and bone health. In addition, the President’s FY25 Budget Request would double current funding for the NIH Office of Research on Women’s Health to support new and existing initiatives that emphasize women’s health research.

This coordinated, NIH-wide effort will be co-chaired by the NIH Office of the Director, the Office of Research on Women’s Health, and the institute directors from the National Institute on Aging; the National Heart, Lung, and Blood Institute; the National Institute on Drug Abuse; the Eunice Kennedy Shriver National Institute of Child Health and Human Development; the National Institute on Arthritis, Musculoskeletal and Skin Diseases.

• Invest in Research on a Wide Range of Women’s Health Issues. The bipartisan Congressionally Directed Medical Research Program (CDMRP), led out of DoD, funds research on women’s health encompassing a range of diseases and conditions that affect women uniquely, disproportionately, or differently from men. While the programs and topic areas directed by Congress differ each year, CDMRP has consistently funded research to advance women’s health since its creation in 1993. In Fiscal Year 2022, DoD implemented nearly $490 million in CDMRP investments towards women’s health research projects ranging from breast and ovarian cancer to lupus to orthotics and prosthetics in women.  In Fiscal Year 2023, DoD anticipates implementing approximately $500 million in CDMRP funding for women’s health research, including in endometriosis, rheumatoid arthritis, and chronic fatigue.
• Call for New Proposals on Emerging Women’s Health Issues . Today, NSF is calling for new research and education proposals to advance discoveries and innovations related to women’s health. To promote multidisciplinary solutions to women’s health disparities, NSF invites applications that would improve women’s health through a wide range of disciplines—from computational research to engineering biomechanics. This is the first time that NSF has broadly called for novel and transformative research that is focused entirely on women’s health topics, and proposals will be considered on an ongoing basis.
• Increase Research on How Environmental Factors Affect Women’s Health. The Environmental Protection Agency (EPA) is updating its grant solicitations and contracts to ensure that applicants prioritize, as appropriate, the consideration of women’s exposures and health outcomes. These changes will help ensure that women’s health is better accounted for across EPA’s research portfolio and increase our knowledge of women’s environmental health—from endocrine disruption to toxic exposure.
• Create a Dedicated, One-Stop Shop for NIH Funding Opportunities on Women’s Health. Researchers are often unaware of existing opportunities to apply for federal funding. To help close this gap, NIH is issuing a new Notice of Special Interest that identifies current, open funding opportunities related to women’s health research across a wide range of health conditions and all Institutes, Centers, and Offices. The NIH Office of Research on Women’s Health will build on this new Notice by creating a dedicated one-stop shop on open funding opportunities related to women’s health research. This will make it easier for researchers and institutions to find and apply for funding—instead of having to search across each of NIH’s 27 institutes for funding opportunities.

Foster Innovation and Discovery in Women’s Health

• Accelerate Transformative Research and Development in Women’s Health. ARPA-H’s Sprint for Women’s Health launched in February 2024 commits $100 million to transformative research and development in women’s health. ARPA-H is soliciting ideas for novel groundbreaking research and development to address women’s health, as well as opportunities to accelerate and scale tools, products, and platforms with the potential for commercialization to improve women’s health outcomes.
• Support Private Sector Innovation Through Additional Federal Investments in Women’s Health Research. The NIH’s competitive Small Business Innovation Research Program and the Small Business Technology Transfer Program is committing to further increasing—by 50 percent—its investments in supporting innovators and early-stage small businesses engaged in research and development on women’s health. These programs will solicit new proposals on promising women’s health innovation and make evidence-based investments that bridge the gap between performance of basic science and commercialization of resulting innovations. This commitment for additional funds builds on the investments the Administration has already made to increase innovation in women’s health through small businesses, including by increasing investments by sevenfold between Fiscal Year 2021 and Fiscal Year 2023.
• Advance Initiatives to Protect and Promote the Health of Women. The Food and Drug Administration (FDA) seeks to advance efforts to help address gaps in research and availability of products for diseases and conditions that primarily impact women, or for which scientific considerations may be different for women, and is committed to research and regulatory initiatives that facilitate the development of safe and effective medical products for women. FDA also plans to issue guidance for industry that relates to the inclusion of women in clinical trials and conduct outreach to stakeholders to discuss opportunities to advance women’s health across the lifespan. And FDA’s Office of Women’s Health will update FDA’s framework for women’s health research and seek to fund research with an emphasis on bridging gaps in knowledge on important women’s health topics, including sex differences and conditions that uniquely or disproportionately impact women.
• Use Biomarkers to Improve the Health of Women Through Early Detection and Treatment of Conditions, such as Endometriosis. NIH will launch a new initiative dedicated to research on biomarker discovery and validation to help improve our ability to prevent, diagnose, and treat conditions that affect women uniquely, including endometriosis. This NIH initiative will accelerate our ability to identify new pathways for diagnosis and treatment by encouraging multi-sector collaboration and synergistic research that will speed the transfer of knowledge from bench to bedside.
• Leverage Engineering Research to Improve Women’s Health . The NSF Engineering Research Visioning Alliance (ERVA) is convening national experts to identify high-impact research opportunities in engineering that can improve women’s health. ERVA’s Transforming Women’s Health Outcomes Through Engineering visioning event will be held in June 2024, and will bring together experts from across engineering—including those in microfluidics, computational modeling, artificial intelligence/imaging, and diagnostic technologies and devices—to evaluate the landscape for new applications in women’s health. Following this event, ERVA will issue a report and roadmap on critical areas where engineering research can impact women’s health across the lifespan.
• Drive Engineering Innovations in Women’s Health Discovery . NSF awardees at Texas A&M University will hold a conference in summer 2024 to collectively identify challenges and opportunities in improving women’s health through engineering. Biomedical engineers and scientists will explore and identify how various types of engineering tools, including biomechanics and immuno-engineering, can be applied to women’s health and spark promising new research directions.

Expand and Leverage Data Collection and Analysis Related to Women’s Health

• Help Standardize Data to Support Research on Women’s Health. NIH is launching an effort to identify and develop new common data elements related to women’s health that will help researchers share and combine datasets, promote interoperability, and improve the accuracy of datasets when it comes to women’s health. NIH will initiate this process by convening data and scientific experts across the federal government to solicit feedback on the need to develop new NIH-endorsed common data elements—which are widely used in both research and clinical settings. By advancing new tools to capture more data about women’s health, NIH will give researchers and clinicians the tools they need to enable more meaningful data collection, analysis, and reporting and comprehensively improve our knowledge of women’s health.
• Reflect Women’s Health Needs in National Coverage Determinations. The Centers for Medicare & Medicaid Services (CMS) will strengthen its review process, including through Coverage with Evidence Development guidance, to ensure that new medical services and technologies work well in women, as applicable, before being covered nationally through the Medicare program. This will help ensure that Medicare funds are used for treatments with a sufficient evidence base to show that they actually work in women, who make up more than half of the Medicare population.
• Leverage Data and Quality Measures to Advance Women’s Health Research. The Centers for Disease Control and Prevention (CDC) and the Health Resources and Services Administration (HRSA) are building on existing datasets to improve the collection, analysis, and reporting of information on women’s health. The CDC is expanding the collection of key quality measures across a woman’s lifespan, including to understand the link between pregnancy and post-partum hypertension and heart disease, and plans to release the Million Hearts Hypertension in Pregnancy Change Package. This resource will feature a menu of evidence-informed strategies by which clinicians can change care processes. Each strategy includes tested tools and resources to support related clinical quality improvement. HRSA is modernizing its Uniform Data System in ways that will improve the ability to assess how women are being served through HRSA-funded health centers. By improving the ability to analyze data on key clinical quality measures, CDC and HRSA can help close gaps in women’s health care access and identify new opportunities for high-impact research.  

Strengthen Coordination, Infrastructure, and Training to Support Women’s Health Research

• Launch New Joint Collaborative to Improve Women’s Health Research for Service Members and Veterans. DoD and VA are launching a new Women’s Health Research collaborative to explore opportunities that further promote joint efforts to advance women’s health research and improve evidence-based care for Service members and veterans. The collaborative will increase coordination with the goal of helping improve care across the lifespan for women in the military and women veterans. The Departments will further advance research on key women’s health issues and develop a roadmap to close pressing research gaps, including those specifically affecting Service women and women veterans.
• Coordinate Research to Advance the Health of Women in the Military. DoD will invest $10 million, contingent on available funds, in the Military Women’s Health Research Partnership. This Partnership is led by the Uniformed Services University and advances and coordinates women’s health research across the Department. The Partnership is supporting research in a wide range of health issues affecting women in the military, including cancers, mental and behavioral health, and the unique health care needs of Active Duty Service Women. In addition, the Uniformed Services University established a dedicated Director of Military Women’s Health Research Program, a role that is responsible for identifying research gaps, fostering collaboration, and coordinating and aligning a unified approach to address the evolving needs of Active Duty Service Women.
• Support EPA-Wide Research and Dissemination of Data on Women’s Health. EPA is establishing a Women’s Health Community of Practice to coordinate research and data dissemination. EPA also plans to direct the Board of Scientific Counselors to identify ways to advance EPA’s research with specific consideration of the intersection of environmental factors and women’s health, including maternal health.
• Expand Fellowship Training in Women’s Health Research. CDC, in collaboration with the CDC Foundation and American Board of Obstetrics and Gynecology, is expanding training in women’s health research and public health surveillance to OBGYNs, nurses and advanced practice nurses. Through fellowships and public health experiences with CDC, these clinicians will gain public health research skills to improve the health of women and children exposed to or affected by infectious diseases, mental health and substance use disorders. CDC will invite early career clinicians to train in public health and policy to become future leaders in women’s health research.

Improve Women’s Health Across the Lifespan

• Create a Comprehensive Research Agenda on Menopause. To help women get the answers they need about menopause, NIH will launch its first-ever Pathways to Prevention series on menopause and the treatment of menopausal symptoms. Pathways to Prevention is an independent, evidence-based process to synthesize the current state of the evidence, identify gaps in existing research, and develop a roadmap that can be used to help guide the field forward. The report, once completed, will help guide innovation and investments in menopause-related research and care across the federal government and research community.
• Improve Primary Care and Preventive Services for Women . The Agency for Healthcare Research and Quality (AHRQ) will issue a Notice of Intent to publish a funding opportunity announcement for research to advance the science of primary care, which will include a focus on women’s health. Through this funding opportunity, AHRQ will build evidence about key elements of primary care that influence patient outcomes and advance health equity—focusing on women of color—such as care coordination, continuity of care, comprehensiveness of care, person-centered care, and trust. The results from the funding opportunity will shed light on vital targets for improvements in the delivery of primary healthcare across a woman’s lifespan, including women’s health preventive services, prevention and management of multiple chronic diseases, perinatal care, transition from pediatric to adult care, sexual and reproductive health, and care of older adults.
• Promote the Health of American Indian and Alaska Native Women. The Indian Health Service is launching a series of engagements, including focus groups, to better understand tribal beliefs related to menopause in American Indian and Alaska Native Women. This series will inform new opportunities to expand culturally informed patient care and research as well as the development of new resources and educational materials.
• Connect Research to Real-World Outcomes to Improve Women’s Mental and Behavioral Health. The Substance Abuse and Mental Health Services Administration (SAMHSA) is supporting a range of health care providers to address the unique needs of women with or at risk for mental health and substance use disorders. Building on its current efforts to provide technical assistance through various initiatives , SAMHSA intends, contingent on available funds, to launch a new comprehensive Women’s Behavioral Health Technical Assistance Center. This center will identify and improve the implementation of best practices in women’s behavioral health across the life span; identify and fill critical gaps in knowledge of and resources for women’s behavioral health; and provide learning opportunities, training, and technical assistance for healthcare providers.
• Support Research on Maternal Health Outcomes. USDA will fund research to help recognize early warning signs of maternal morbidity and mortality in recipients of Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), and anticipates awarding up to $5 million in Fiscal Year 2023 to support maternal health research through WIC. In addition, research being conducted through the Agricultural Research Service’s Human Nutrition Research Centers is focusing on women’s health across the lifespan, including the nutritional needs of pregnant and breastfeeding women and older adults.

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