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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.

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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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Can you help me with a full paper template for this Abstract:

Background: Energy and sports drinks have gained popularity among diverse demographic groups, including adolescents, athletes, workers, and college students. While often used interchangeably, these beverages serve distinct purposes, with energy drinks aiming to boost energy and cognitive performance, and sports drinks designed to prevent dehydration and replenish electrolytes and carbohydrates lost during physical exertion.

Objective: To assess the nutritional quality of energy and sports drinks in Egypt.

Material and Methods: A cross-sectional study assessed the nutrient contents, including energy, sugar, electrolytes, vitamins, and caffeine, of sports and energy drinks available in major supermarkets in Cairo, Alexandria, and Giza, Egypt. Data collection involved photographing all relevant product labels and recording nutritional information. Descriptive statistics and appropriate statistical tests were employed to analyze and compare the nutritional values of energy and sports drinks.

Results: The study analyzed 38 sports drinks and 42 energy drinks. Sports drinks were significantly more expensive than energy drinks, with higher net content and elevated magnesium, potassium, and vitamin C. Energy drinks contained higher concentrations of caffeine, sugars, and vitamins B2, B3, and B6.

Conclusion: Significant nutritional differences exist between sports and energy drinks, reflecting their intended uses. However, these beverages’ high sugar content and calorie loads raise health concerns. Proper labeling, public awareness, and responsible marketing are essential to guide safe consumption practices in Egypt.

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How to do a research project for your academic study

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Writing a research report is part of most university degrees, so it is essential you know what one is and how to write one. This guide on how to do a research project for your university degree shows you what to do at each stage, taking you from planning to finishing the project.

What is a research project? 

The big question is: what is a research project? A research project for students is an extended essay that presents a question or statement for analysis and evaluation. During a research project, you will present your own ideas and research on a subject alongside analysing existing knowledge. 

How to write a research report 

The next section covers the research project steps necessary to producing a research paper. 

Developing a research question or statement 

Research project topics will vary depending on the course you study. The best research project ideas develop from areas you already have an interest in and where you have existing knowledge. 

The area of study needs to be specific as it will be much easier to cover fully. If your topic is too broad, you are at risk of not having an in-depth project. You can, however, also make your topic too narrow and there will not be enough research to be done. To make sure you don’t run into either of these problems, it’s a great idea to create sub-topics and questions to ensure you are able to complete suitable research. 

A research project example question would be: How will modern technologies change the way of teaching in the future? 

Finding and evaluating sources 

Secondary research is a large part of your research project as it makes up the literature review section. It is essential to use credible sources as failing to do so may decrease the validity of your research project.

Examples of secondary research include:

• Peer-reviewed journals
• Scholarly articles
• Newspapers 

Great places to find your sources are the University library and Google Scholar. Both will give you many opportunities to find the credible sources you need. However, you need to make sure you are evaluating whether they are fit for purpose before including them in your research project as you do not want to include out of date information. 

When evaluating sources, you need to ask yourself:

• Is the information provided by an expert?
• How well does the source answer the research question?
• What does the source contribute to its field?
• Is the source valid? e.g. does it contain bias and is the information up-to-date?

It is important to ensure that you have a variety of sources in order to avoid bias. A successful research paper will present more than one point of view and the best way to do this is to not rely too heavily on just one author or publication. 

Conducting research 

For a research project, you will need to conduct primary research. This is the original research you will gather to further develop your research project. The most common types of primary research are interviews and surveys as these allow for many and varied results. 

Examples of primary research include: 

• Interviews and surveys 
• Focus groups 
• Experiments 
• Research diaries 

If you are looking to study in the UK and have an interest in bettering your research skills, The University of Sheffield is a  world top 100 research university  which will provide great research opportunities and resources for your project. 

Research report format  

Now that you understand the basics of how to write a research project, you now need to look at what goes into each section. The research project format is just as important as the research itself. Without a clear structure you will not be able to present your findings concisely. 

A research paper is made up of seven sections: introduction, literature review, methodology, findings and results, discussion, conclusion, and references. You need to make sure you are including a list of correctly cited references to avoid accusations of plagiarism. 

Introduction 

The introduction is where you will present your hypothesis and provide context for why you are doing the project. Here you will include relevant background information, present your research aims and explain why the research is important. 

Literature review  

The literature review is where you will analyse and evaluate existing research within your subject area. This section is where your secondary research will be presented. A literature review is an integral part of your research project as it brings validity to your research aims. 

What to include when writing your literature review:

• A description of the publications
• A summary of the main points
• An evaluation on the contribution to the area of study
• Potential flaws and gaps in the research 

Methodology

The research paper methodology outlines the process of your data collection. This is where you will present your primary research. The aim of the methodology section is to answer two questions: 

• Why did you select the research methods you used?
• How do these methods contribute towards your research hypothesis? 

In this section you will not be writing about your findings, but the ways in which you are going to try and achieve them. You need to state whether your methodology will be qualitative, quantitative, or mixed. 

• Qualitative – first hand observations such as interviews, focus groups, case studies and questionnaires. The data collected will generally be non-numerical. 
• Quantitative – research that deals in numbers and logic. The data collected will focus on statistics and numerical patterns.
• Mixed – includes both quantitative and qualitative research.

The methodology section should always be written in the past tense, even if you have already started your data collection. 

Findings and results 

In this section you will present the findings and results of your primary research. Here you will give a concise and factual summary of your findings using tables and graphs where appropriate. 

Discussion 

The discussion section is where you will talk about your findings in detail. Here you need to relate your results to your hypothesis, explaining what you found out and the significance of the research. 

It is a good idea to talk about any areas with disappointing or surprising results and address the limitations within the research project. This will balance your project and steer you away from bias.

Some questions to consider when writing your discussion: 

• To what extent was the hypothesis supported?
• Was your research method appropriate?
• Was there unexpected data that affected your results?
• To what extent was your research validated by other sources?

Conclusion 

The conclusion is where you will bring your research project to a close. In this section you will not only be restating your research aims and how you achieved them, but also discussing the wider significance of your research project. You will talk about the successes and failures of the project, and how you would approach further study. 

It is essential you do not bring any new ideas into your conclusion; this section is used only to summarise what you have already stated in the project. 

References 

As a research project is your own ideas blended with information and research from existing knowledge, you must include a list of correctly cited references. Creating a list of references will allow the reader to easily evaluate the quality of your secondary research whilst also saving you from potential plagiarism accusations. 

The way in which you cite your sources will vary depending on the university standard.

If you are an international student looking to  study a degree in the UK , The University of Sheffield International College has a range of  pathway programmes  to prepare you for university study. Undertaking a Research Project is one of the core modules for the  Pre-Masters programme  at The University of Sheffield International College.

Frequently Asked Questions 

What is the best topic for research .

It’s a good idea to choose a topic you have existing knowledge on, or one that you are interested in. This will make the research process easier; as you have an idea of where and what to look for in your sources, as well as more enjoyable as it’s a topic you want to know more about.

What should a research project include? 

There are seven main sections to a research project, these are:

• Introduction – the aims of the project and what you hope to achieve
• Literature review – evaluating and reviewing existing knowledge on the topic
• Methodology – the methods you will use for your primary research
• Findings and results – presenting the data from your primary research
• Discussion – summarising and analysing your research and what you have found out
• Conclusion – how the project went (successes and failures), areas for future study
• List of references – correctly cited sources that have been used throughout the project. 

How long is a research project? 

The length of a research project will depend on the level study and the nature of the subject. There is no one length for research papers, however the average dissertation style essay can be anywhere from 4,000 to 15,000+ words. 

• Research Process

Writing a Scientific Research Project Proposal

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Table of Contents

The importance of a well-written research proposal cannot be underestimated. Your research really is only as good as your proposal. A poorly written, or poorly conceived research proposal will doom even an otherwise worthy project. On the other hand, a well-written, high-quality proposal will increase your chances for success.

In this article, we’ll outline the basics of writing an effective scientific research proposal, including the differences between research proposals, grants and cover letters. We’ll also touch on common mistakes made when submitting research proposals, as well as a simple example or template that you can follow.

What is a scientific research proposal?

The main purpose of a scientific research proposal is to convince your audience that your project is worthwhile, and that you have the expertise and wherewithal to complete it. The elements of an effective research proposal mirror those of the research process itself, which we’ll outline below. Essentially, the research proposal should include enough information for the reader to determine if your proposed study is worth pursuing.

It is not an uncommon misunderstanding to think that a research proposal and a cover letter are the same things. However, they are different. The main difference between a research proposal vs cover letter content is distinct. Whereas the research proposal summarizes the proposal for future research, the cover letter connects you to the research, and how you are the right person to complete the proposed research.

There is also sometimes confusion around a research proposal vs grant application. Whereas a research proposal is a statement of intent, related to answering a research question, a grant application is a specific request for funding to complete the research proposed. Of course, there are elements of overlap between the two documents; it’s the purpose of the document that defines one or the other.

Scientific Research Proposal Format

Although there is no one way to write a scientific research proposal, there are specific guidelines. A lot depends on which journal you’re submitting your research proposal to, so you may need to follow their scientific research proposal template.

In general, however, there are fairly universal sections to every scientific research proposal. These include:

• Title: Make sure the title of your proposal is descriptive and concise. Make it catch and informative at the same time, avoiding dry phrases like, “An investigation…” Your title should pique the interest of the reader.
• Abstract: This is a brief (300-500 words) summary that includes the research question, your rationale for the study, and any applicable hypothesis. You should also include a brief description of your methodology, including procedures, samples, instruments, etc.
• Introduction: The opening paragraph of your research proposal is, perhaps, the most important. Here you want to introduce the research problem in a creative way, and demonstrate your understanding of the need for the research. You want the reader to think that your proposed research is current, important and relevant.
• Background: Include a brief history of the topic and link it to a contemporary context to show its relevance for today. Identify key researchers and institutions also looking at the problem
• Literature Review: This is the section that may take the longest amount of time to assemble. Here you want to synthesize prior research, and place your proposed research into the larger picture of what’s been studied in the past. You want to show your reader that your work is original, and adds to the current knowledge.
• Research Design and Methodology: This section should be very clearly and logically written and organized. You are letting your reader know that you know what you are going to do, and how. The reader should feel confident that you have the skills and knowledge needed to get the project done.
• Preliminary Implications: Here you’ll be outlining how you anticipate your research will extend current knowledge in your field. You might also want to discuss how your findings will impact future research needs.
• Conclusion: This section reinforces the significance and importance of your proposed research, and summarizes the entire proposal.
• References/Citations: Of course, you need to include a full and accurate list of any and all sources you used to write your research proposal.

Common Mistakes in Writing a Scientific Research Project Proposal

Remember, the best research proposal can be rejected if it’s not well written or is ill-conceived. The most common mistakes made include:

• Not providing the proper context for your research question or the problem
• Failing to reference landmark/key studies
• Losing focus of the research question or problem
• Not accurately presenting contributions by other researchers and institutions
• Incompletely developing a persuasive argument for the research that is being proposed
• Misplaced attention on minor points and/or not enough detail on major issues
• Sloppy, low-quality writing without effective logic and flow
• Incorrect or lapses in references and citations, and/or references not in proper format
• The proposal is too long – or too short

Scientific Research Proposal Example

There are countless examples that you can find for successful research proposals. In addition, you can also find examples of unsuccessful research proposals. Search for successful research proposals in your field, and even for your target journal, to get a good idea on what specifically your audience may be looking for.

While there’s no one example that will show you everything you need to know, looking at a few will give you a good idea of what you need to include in your own research proposal. Talk, also, to colleagues in your field, especially if you are a student or a new researcher. We can often learn from the mistakes of others. The more prepared and knowledgeable you are prior to writing your research proposal, the more likely you are to succeed.

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One of the top reasons scientific research proposals are rejected is due to poor logic and flow. Check out our Language Editing Services to ensure a great proposal , that’s clear and concise, and properly referenced. Check our video for more information, and get started today.

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How to plan a research project

Whether for a paper or a thesis, define your question, review the work of others – and leave yourself open to discovery.

by Brooke Harrington   + BIO

is professor of sociology at Dartmouth College in New Hampshire. Her research has won international awards both for scholarly quality and impact on public life. She has published dozens of articles and three books, most recently the bestseller Capital without Borders (2016), now translated into five languages.

Edited by Sam Haselby

Need to know

‘When curiosity turns to serious matters, it’s called research.’ – From Aphorisms (1880-1905) by Marie von Ebner-Eschenbach

Planning research projects is a time-honoured intellectual exercise: one that requires both creativity and sharp analytical skills. The purpose of this Guide is to make the process systematic and easy to understand. While there is a great deal of freedom and discovery involved – from the topics you choose, to the data and methods you apply – there are also some norms and constraints that obtain, no matter what your academic level or field of study. For those in high school through to doctoral students, and from art history to archaeology, research planning involves broadly similar steps, including: formulating a question, developing an argument or predictions based on previous research, then selecting the information needed to answer your question.

Some of this might sound self-evident but, as you’ll find, research requires a different way of approaching and using information than most of us are accustomed to in everyday life. That is why I include orienting yourself to knowledge-creation as an initial step in the process. This is a crucial and underappreciated phase in education, akin to making the transition from salaried employment to entrepreneurship: suddenly, you’re on your own, and that requires a new way of thinking about your work.

What follows is a distillation of what I’ve learned about this process over 27 years as a professional social scientist. It reflects the skills that my own professors imparted in the sociology doctoral programme at Harvard, as well as what I learned later on as a research supervisor for Ivy League PhD and MA students, and then as the author of award-winning scholarly books and articles. It can be adapted to the demands of both short projects (such as course term papers) and long ones, such as a thesis.

At its simplest, research planning involves the four distinct steps outlined below: orienting yourself to knowledge-creation; defining your research question; reviewing previous research on your question; and then choosing relevant data to formulate your own answers. Because the focus of this Guide is on planning a research project, as opposed to conducting a research project, this section won’t delve into the details of data-collection or analysis; those steps happen after you plan the project. In addition, the topic is vast: year-long doctoral courses are devoted to data and analysis. Instead, the fourth part of this section will outline some basic strategies you could use in planning a data-selection and analysis process appropriate to your research question.

Step 1: Orient yourself

Planning and conducting research requires you to make a transition, from thinking like a consumer of information to thinking like a producer of information. That sounds simple, but it’s actually a complex task. As a practical matter, this means putting aside the mindset of a student, which treats knowledge as something created by other people. As students, we are often passive receivers of knowledge: asked to do a specified set of readings, then graded on how well we reproduce what we’ve read.

Researchers, however, must take on an active role as knowledge producers . Doing research requires more of you than reading and absorbing what other people have written: you have to engage in a dialogue with it. That includes arguing with previous knowledge and perhaps trying to show that ideas we have accepted as given are actually wrong or incomplete. For example, rather than simply taking in the claims of an author you read, you’ll need to draw out the implications of those claims: if what the author is saying is true, what else does that suggest must be true? What predictions could you make based on the author’s claims?

In other words, rather than treating a reading as a source of truth – even if it comes from a revered source, such as Plato or Marie Curie – this orientation step asks you to treat the claims you read as provisional and subject to interrogation. That is one of the great pieces of wisdom that science and philosophy can teach us: that the biggest advances in human understanding have been made not by being correct about trivial things, but by being wrong in an interesting way . For example, Albert Einstein was wrong about quantum mechanics, but his arguments about it with his fellow physicist Niels Bohr have led to some of the biggest breakthroughs in science, even a century later.

Step 2: Define your research question

Students often give this step cursory attention, but experienced researchers know that formulating a good question is sometimes the most difficult part of the research planning process. That is because the precise language of the question frames the rest of the project. It’s therefore important to pose the question carefully, in a way that’s both possible to answer and likely to yield interesting results. Of course, you must choose a question that interests you, but that’s only the beginning of what’s likely to be an iterative process: most researchers come back to this step repeatedly, modifying their questions in light of previous research, resource limitations and other considerations.

Researchers face limits in terms of time and money. They, like everyone else, have to pose research questions that they can plausibly answer given the constraints they face. For example, it would be inadvisable to frame a project around the question ‘What are the roots of the Arab-Israeli conflict?’ if you have only a week to develop an answer and no background on that topic. That’s not to limit your imagination: you can come up with any question you’d like. But it typically does require some creativity to frame a question that you can answer well – that is, by investigating thoroughly and providing new insights – within the limits you face.

In addition to being interesting to you, and feasible within your resource constraints, the third and most important characteristic of a ‘good’ research topic is whether it allows you to create new knowledge. It might turn out that your question has already been asked and answered to your satisfaction: if so, you’ll find out in the next step of this process. On the other hand, you might come up with a research question that hasn’t been addressed previously. Before you get too excited about breaking uncharted ground, consider this: a lot of potentially researchable questions haven’t been studied for good reason ; they might have answers that are trivial or of very limited interest. This could include questions such as ‘Why does the area of a circle equal π r²?’ or ‘Did winter conditions affect Napoleon’s plans to invade Russia?’ Of course, you might be able to make the argument that a seemingly trivial question is actually vitally important, but you must be prepared to back that up with convincing evidence. The exercise in the ‘Learn More’ section below will help you think through some of these issues.

Finally, scholarly research questions must in some way lead to new and distinctive insights. For example, lots of people have studied gender roles in sports teams; what can you ask that hasn’t been asked before? Reinventing the wheel is the number-one no-no in this endeavour. That’s why the next step is so important: reviewing previous research on your topic. Depending on what you find in that step, you might need to revise your research question; iterating between your question and the existing literature is a normal process. But don’t worry: it doesn’t go on forever. In fact, the iterations taper off – and your research question stabilises – as you develop a firm grasp of the current state of knowledge on your topic.

Step 3: Review previous research

In academic research, from articles to books, it’s common to find a section called a ‘literature review’. The purpose of that section is to describe the state of the art in knowledge on the research question that a project has posed. It demonstrates that researchers have thoroughly and systematically reviewed the relevant findings of previous studies on their topic, and that they have something novel to contribute.

Your own research project should include something like this, even if it’s a high-school term paper. In the research planning process, you’ll want to list at least half a dozen bullet points stating the major findings on your topic by other people. In relation to those findings, you should be able to specify where your project could provide new and necessary insights. There are two basic rhetorical positions one can take in framing the novelty-plus-importance argument required of academic research:

• Position 1 requires you to build on or extend a set of existing ideas; that means saying something like: ‘Person A has argued that X is true about gender; this implies Y, which has not yet been tested. My project will test Y, and if I find evidence to support it, that will change the way we understand gender.’
• Position 2 is to argue that there is a gap in existing knowledge, either because previous research has reached conflicting conclusions or has failed to consider something important. For example, one could say that research on middle schoolers and gender has been limited by being conducted primarily in coeducational environments, and that findings might differ dramatically if research were conducted in more schools where the student body was all-male or all-female.

Your overall goal in this step of the process is to show that your research will be part of a larger conversation: that is, how your project flows from what’s already known, and how it advances, extends or challenges that existing body of knowledge. That will be the contribution of your project, and it constitutes the motivation for your research.

Two things are worth mentioning about your search for sources of relevant previous research. First, you needn’t look only at studies on your precise topic. For example, if you want to study gender-identity formation in schools, you shouldn’t restrict yourself to studies of schools; the empirical setting (schools) is secondary to the larger social process that interests you (how people form gender identity). That process occurs in many different settings, so cast a wide net. Second, be sure to use legitimate sources – meaning publications that have been through some sort of vetting process, whether that involves peer review (as with academic journal articles you might find via Google Scholar) or editorial review (as you’d find in well-known mass media publications, such as The Economist or The Washington Post ). What you’ll want to avoid is using unvetted sources such as personal blogs or Wikipedia. Why? Because anybody can write anything in those forums, and there is no way to know – unless you’re already an expert – if the claims you find there are accurate. Often, they’re not.

Step 4: Choose your data and methods

Whatever your research question is, eventually you’ll need to consider which data source and analytical strategy are most likely to provide the answers you’re seeking. One starting point is to consider whether your question would be best addressed by qualitative data (such as interviews, observations or historical records), quantitative data (such as surveys or census records) or some combination of both. Your ideas about data sources will, in turn, suggest options for analytical methods.

You might need to collect your own data, or you might find everything you need readily available in an existing dataset someone else has created. A great place to start is with a research librarian: university libraries always have them and, at public universities, those librarians can work with the public, including people who aren’t affiliated with the university. If you don’t happen to have a public university and its library close at hand, an ordinary public library can still be a good place to start: the librarians are often well versed in accessing data sources that might be relevant to your study, such as the census, or historical archives, or the Survey of Consumer Finances.

Because your task at this point is to plan research, rather than conduct it, the purpose of this step is not to commit you irrevocably to a course of action. Instead, your goal here is to think through a feasible approach to answering your research question. You’ll need to find out, for example, whether the data you want exist; if not, do you have a realistic chance of gathering the data yourself, or would it be better to modify your research question? In terms of analysis, would your strategy require you to apply statistical methods? If so, do you have those skills? If not, do you have time to learn them, or money to hire a research assistant to run the analysis for you?

Please be aware that qualitative methods in particular are not the casual undertaking they might appear to be. Many people make the mistake of thinking that only quantitative data and methods are scientific and systematic, while qualitative methods are just a fancy way of saying: ‘I talked to some people, read some old newspapers, and drew my own conclusions.’ Nothing could be further from the truth. In the final section of this guide, you’ll find some links to resources that will provide more insight on standards and procedures governing qualitative research, but suffice it to say: there are rules about what constitutes legitimate evidence and valid analytical procedure for qualitative data, just as there are for quantitative data.

Circle back and consider revising your initial plans

As you work through these four steps in planning your project, it’s perfectly normal to circle back and revise. Research planning is rarely a linear process. It’s also common for new and unexpected avenues to suggest themselves. As the sociologist Thorstein Veblen wrote in 1908 : ‘The outcome of any serious research can only be to make two questions grow where only one grew before.’ That’s as true of research planning as it is of a completed project. Try to enjoy the horizons that open up for you in this process, rather than becoming overwhelmed; the four steps, along with the two exercises that follow, will help you focus your plan and make it manageable.

Key points – How to plan a research project

• Planning a research project is essential no matter your academic level or field of study. There is no one ‘best’ way to design research, but there are certain guidelines that can be helpfully applied across disciplines.
• Orient yourself to knowledge-creation. Make the shift from being a consumer of information to being a producer of information.
• Define your research question. Your question frames the rest of your project, sets the scope, and determines the kinds of answers you can find.
• Review previous research on your question. Survey the existing body of relevant knowledge to ensure that your research will be part of a larger conversation.
• Choose your data and methods. For instance, will you be collecting qualitative data, via interviews, or numerical data, via surveys?
• Circle back and consider revising your initial plans. Expect your research question in particular to undergo multiple rounds of refinement as you learn more about your topic.

Good research questions tend to beget more questions. This can be frustrating for those who want to get down to business right away. Try to make room for the unexpected: this is usually how knowledge advances. Many of the most significant discoveries in human history have been made by people who were looking for something else entirely. There are ways to structure your research planning process without over-constraining yourself; the two exercises below are a start, and you can find further methods in the Links and Books section.

The following exercise provides a structured process for advancing your research project planning. After completing it, you’ll be able to do the following:

• describe clearly and concisely the question you’ve chosen to study
• summarise the state of the art in knowledge about the question, and where your project could contribute new insight
• identify the best strategy for gathering and analysing relevant data

In other words, the following provides a systematic means to establish the building blocks of your research project.

Exercise 1: Definition of research question and sources

This exercise prompts you to select and clarify your general interest area, develop a research question, and investigate sources of information. The annotated bibliography will also help you refine your research question so that you can begin the second assignment, a description of the phenomenon you wish to study.

Jot down a few bullet points in response to these two questions, with the understanding that you’ll probably go back and modify your answers as you begin reading other studies relevant to your topic:

• What will be the general topic of your paper?
• What will be the specific topic of your paper?

b) Research question(s)

Use the following guidelines to frame a research question – or questions – that will drive your analysis. As with Part 1 above, you’ll probably find it necessary to change or refine your research question(s) as you complete future assignments.

• Your question should be phrased so that it can’t be answered with a simple ‘yes’ or ‘no’.
• Your question should have more than one plausible answer.
• Your question should draw relationships between two or more concepts; framing the question in terms of How? or What? often works better than asking Why ?

c) Annotated bibliography

Most or all of your background information should come from two sources: scholarly books and journals, or reputable mass media sources. You might be able to access journal articles electronically through your library, using search engines such as JSTOR and Google Scholar. This can save you a great deal of time compared with going to the library in person to search periodicals. General news sources, such as those accessible through LexisNexis, are acceptable, but should be cited sparingly, since they don’t carry the same level of credibility as scholarly sources. As discussed above, unvetted sources such as blogs and Wikipedia should be avoided, because the quality of the information they provide is unreliable and often misleading.

To create an annotated bibliography, provide the following information for at least 10 sources relevant to your specific topic, using the format suggested below.

Name of author(s):

Publication date:

Title of book, chapter, or article:

If a chapter or article, title of journal or book where they appear:

Brief description of this work, including main findings and methods ( c 75 words):

Summary of how this work contributes to your project ( c 75 words):

Brief description of the implications of this work ( c 25 words):

Identify any gap or controversy in knowledge this work points up, and how your project could address those problems ( c 50 words):

Exercise 2: Towards an analysis

Develop a short statement ( c 250 words) about the kind of data that would be useful to address your research question, and how you’d analyse it. Some questions to consider in writing this statement include:

• What are the central concepts or variables in your project? Offer a brief definition of each.
• Do any data sources exist on those concepts or variables, or would you need to collect data?
• Of the analytical strategies you could apply to that data, which would be the most appropriate to answer your question? Which would be the most feasible for you? Consider at least two methods, noting their advantages or disadvantages for your project.

Links & books

One of the best texts ever written about planning and executing research comes from a source that might be unexpected: a 60-year-old work on urban planning by a self-trained scholar. The classic book The Death and Life of Great American Cities (1961) by Jane Jacobs (available complete and free of charge via this link ) is worth reading in its entirety just for the pleasure of it. But the final 20 pages – a concluding chapter titled ‘The Kind of Problem a City Is’ – are really about the process of thinking through and investigating a problem. Highly recommended as a window into the craft of research.

Jacobs’s text references an essay on advancing human knowledge by the mathematician Warren Weaver. At the time, Weaver was director of the Rockefeller Foundation, in charge of funding basic research in the natural and medical sciences. Although the essay is titled ‘A Quarter Century in the Natural Sciences’ (1960) and appears at first blush to be merely a summation of one man’s career, it turns out to be something much bigger and more interesting: a meditation on the history of human beings seeking answers to big questions about the world. Weaver goes back to the 17th century to trace the origins of systematic research thinking, with enthusiasm and vivid anecdotes that make the process come alive. The essay is worth reading in its entirety, and is available free of charge via this link .

For those seeking a more in-depth, professional-level discussion of the logic of research design, the political scientist Harvey Starr provides insight in a compact format in the article ‘Cumulation from Proper Specification: Theory, Logic, Research Design, and “Nice” Laws’ (2005). Starr reviews the ‘research triad’, consisting of the interlinked considerations of formulating a question, selecting relevant theories and applying appropriate methods. The full text of the article, published in the scholarly journal Conflict Management and Peace Science , is available, free of charge, via this link .

Finally, the book Getting What You Came For (1992) by Robert Peters is not only an outstanding guide for anyone contemplating graduate school – from the application process onward – but it also includes several excellent chapters on planning and executing research, applicable across a wide variety of subject areas. It was an invaluable resource for me 25 years ago, and it remains in print with good reason; I recommend it to all my students, particularly Chapter 16 (‘The Thesis Topic: Finding It’), Chapter 17 (‘The Thesis Proposal’) and Chapter 18 (‘The Thesis: Writing It’).

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• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on 30 October 2022 by Shona McCombes and Tegan George. Revised on 13 June 2023.

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

• Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organised and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, frequently asked questions.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

Download our research proposal template

Prevent plagiarism, run a free check.

Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

• Example research proposal #1: ‘A Conceptual Framework for Scheduling Constraint Management’
• Example research proposal #2: ‘ Medical Students as Mediators of Change in Tobacco Use’

Like your dissertation or thesis, the proposal will usually have a title page that includes:

• The proposed title of your project
• Your supervisor’s name
• Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

• Introduce your topic
• Give necessary background and context
• Outline your  problem statement  and research questions

To guide your introduction , include information about:

• Who could have an interest in the topic (e.g., scientists, policymakers)
• How much is already known about the topic
• What is missing from this current knowledge
• What new insights your research will contribute
• Why you believe this research is worth doing

As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

• Comparing and contrasting the main theories, methods, and debates
• Examining the strengths and weaknesses of different approaches
• Explaining how will you build on, challenge, or synthesise prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasise again what you aim to contribute and why it matters.

For example, your results might have implications for:

• Improving best practices
• Informing policymaking decisions
• Strengthening a theory or model
• Challenging popular or scientific beliefs
• Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

• Cost : exactly how much money do you need?
• Justification : why is this cost necessary to complete the research?
• Source : how did you calculate the amount?

To determine your budget, think about:

• Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
• Materials : do you need access to any tools or technologies?
• Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement.

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

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How to Get Started With a Research Project

Last Updated: October 3, 2023 Fact Checked

This article was co-authored by Chris Hadley, PhD . Chris Hadley, PhD is part of the wikiHow team and works on content strategy and data and analytics. Chris Hadley earned his PhD in Cognitive Psychology from UCLA in 2006. Chris' academic research has been published in numerous scientific journals. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 312,604 times.

You'll be required to undertake and complete research projects throughout your academic career and even, in many cases, as a member of the workforce. Don't worry if you feel stuck or intimidated by the idea of a research project, with care and dedication, you can get the project done well before the deadline!

Development and Foundation

• Don't hesitate while writing down ideas. You'll end up with some mental noise on the paper – silly or nonsensical phrases that your brain just pushes out. That's fine. Think of it as sweeping the cobwebs out of your attic. After a minute or two, better ideas will begin to form (and you might have a nice little laugh at your own expense in the meantime).

• Some instructors will even provide samples of previously successful topics if you ask for them. Just be careful that you don't end up stuck with an idea you want to do, but are afraid to do because you know someone else did it before.

• For example, if your research topic is “urban poverty,” you could look at that topic across ethnic or sexual lines, but you could also look into corporate wages, minimum wage laws, the cost of medical benefits, the loss of unskilled jobs in the urban core, and on and on. You could also try comparing and contrasting urban poverty with suburban or rural poverty, and examine things that might be different about both areas, such as diet and exercise levels, or air pollution.

• Think in terms of questions you want answered. A good research project should collect information for the purpose of answering (or at least attempting to answer) a question. As you review and interconnect topics, you'll think of questions that don't seem to have clear answers yet. These questions are your research topics.

• Don't limit yourself to libraries and online databases. Think in terms of outside resources as well: primary sources, government agencies, even educational TV programs. If you want to know about differences in animal population between public land and an Indian reservation, call the reservation and see if you can speak to their department of fish and wildlife.
• If you're planning to go ahead with original research, that's great – but those techniques aren't covered in this article. Instead, speak with qualified advisors and work with them to set up a thorough, controlled, repeatable process for gathering information.

• If your plan comes down to “researching the topic,” and there aren't any more specific things you can say about it, write down the types of sources you plan to use instead: books (library or private?), magazines (which ones?), interviews, and so on. Your preliminary research should have given you a solid idea of where to begin.

Expanding Your Idea with Research

• It's generally considered more convincing to source one item from three different authors who all agree on it than it is to rely too heavily on one book. Go for quantity at least as much as quality. Be sure to check citations, endnotes, and bibliographies to get more potential sources (and see whether or not all your authors are just quoting the same, older author).
• Writing down your sources and any other relevant details (such as context) around your pieces of information right now will save you lots of trouble in the future.

• Use many different queries to get the database results you want. If one phrasing or a particular set of words doesn't yield useful results, try rephrasing it or using synonymous terms. Online academic databases tend to be dumber than the sum of their parts, so you'll have to use tangentially related terms and inventive language to get all the results you want.

• If it's sensible, consider heading out into the field and speaking to ordinary people for their opinions. This isn't always appropriate (or welcomed) in a research project, but in some cases, it can provide you with some excellent perspective for your research.
• Review cultural artifacts as well. In many areas of study, there's useful information on attitudes, hopes, and/or concerns of people in a particular time and place contained within the art, music, and writing they produced. One has only to look at the woodblock prints of the later German Expressionists, for example, to understand that they lived in a world they felt was often dark, grotesque, and hopeless. Song lyrics and poetry can likewise express strong popular attitudes.

Expert Q&A

• Start early. The foundation of a great research project is the research, which takes time and patience to gather even if you aren't performing any original research of your own. Set aside time for it whenever you can, at least until your initial gathering phase is complete. Past that point, the project should practically come together on its own. Thanks Helpful 1 Not Helpful 0
• When in doubt, write more, rather than less. It's easier to pare down and reorganize an overabundance of information than it is to puff up a flimsy core of facts and anecdotes. Thanks Helpful 1 Not Helpful 0

• Respect the wishes of others. Unless you're a research journalist, it's vital that you yield to the wishes and requests of others before engaging in original research, even if it's technically ethical. Many older American Indians, for instance, harbor a great deal of cultural resentment towards social scientists who visit reservations for research, even those invited by tribal governments for important reasons such as language revitalization. Always tread softly whenever you're out of your element, and only work with those who want to work with you. Thanks Helpful 8 Not Helpful 2
• Be mindful of ethical concerns. Especially if you plan to use original research, there are very stringent ethical guidelines that must be followed for any credible academic body to accept it. Speak to an advisor (such as a professor) about what you plan to do and what steps you should take to verify that it will be ethical. Thanks Helpful 6 Not Helpful 2

You Might Also Like

• ↑ http://www.butte.edu/departments/cas/tipsheets/research/research_paper.html
• ↑ https://www.nhcc.edu/academics/library/doing-library-research/basic-steps-research-process
• ↑ https://library.sacredheart.edu/c.php?g=29803&p=185905
• ↑ https://owl.purdue.edu/owl/general_writing/common_writing_assignments/research_papers/choosing_a_topic.html
• ↑ https://www.unr.edu/writing-speaking-center/student-resources/writing-speaking-resources/using-an-interview-in-a-research-paper
• ↑ https://www.science.org/content/article/how-review-paper

About This Article

The easiest way to get started with a research project is to use your notes and other materials to come up with topics that interest you. Research your favorite topic to see if it can be developed, and then refine it into a research question. Begin thoroughly researching, and collect notes and sources. To learn more about finding reliable and helpful sources while you're researching, continue reading! Did this summary help you? Yes No

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How to Write a Research Protocol: Tips and Tricks

Matteo cameli.

Department of Cardiovascular Diseases, University of Siena, Siena, Italy

Giuseppina Novo

1 Biomedical Department of Internal Medicine and Medical Specialties, Cardiology Unit, University of Palermo, Palermo, Italy

Maurizio Tusa

2 Division of Cardiology, IRCCS Policlinico San Donato, Italy

Giulia Elena Mandoli

Giovanni corrado.

3 Department of Cardiology, Valduce Hospital, Como, Italy

Frank Benedetto

4 Division of Cardiology, Bianchi-Melacrino-Morelli Hospital, Reggio Calabria, Italy

Francesco Antonini-Canterin

5 High Specialization Rehabilitation Hospital, ORAS, Motta di Livenza, Treviso, Italy

Rodolfo Citro

6 Heart Department, University Hospital “San Giovanni di Dio e Ruggi D’Aragona”, Salerno, Italy

The first drafting of the protocol for a new research project should start from a solid idea with one or more of these goals:

• Overcoming the limits of the current knowledge in a determinate field with the aim of bridging a “knowledge gap”
• Bringing something new in a scarcely explored field
• Validating or nullifying previous results obtained in limited records by studies on a wider population.

A research proposal born with the intent to convince the others that your project is worthy and you are able to manage it with a complete and specific work plan. With a strong idea in mind, it is time to write a document where all the aspects of the future research project must be explained in a precise, understandable manner. This will successively help the researcher to present it and process and elaborate the obtained results.[ 1 ] The protocol manuscript should also underline both the pros and the potentialities of the idea to put it under a new light.[ 2 ]

Our paper will give the authors suggestions and advices regarding how to organize a research protocol, step by step [ Table 1 ].

Main sections and subsections in a complete research protocol

A research protocol must start from the definition of the coordinator of the whole study: all the details of the main investigator must be reported in the first paragraph. This will allow each participant to know who ask for in case of doubts or criticalities during the research. If the study will be multicentric, in the first section must be written also the number of the involved centers, each one possibly matched with the corresponding reference investigator.

Second section: Specific features of the research study

After completing the administrative details, the next step is to provide and extend title of the study: This is made for identifying the field of research and the aim of the study itself in a sort of brief summary of the research; the title must be followed by a unique acronym, like an ID of the protocol. If the protocol has been already exposed and approved by the Ethical Committee, it is appropriate to include also protocol number.

A list of 3–7 keywords must be listed to simplify the collocation of the protocol in its field of research, including, for example, disease, research tools, and analyzed parameters (e.g. three-dimensional echocardiography, right ventricle, end-stage heart failure, and prognosis).

The protocol must continue stating the research background that is the rational cause on the base on which the study is pursued. This section is written to answer some of these questions: what is the project about? What is already available in this field in the current knowledge? Why we need to overcome that data? and How will the community will from the present study?

As for an original research manuscript, the introduction to the project must include a brief review of the literature (with corresponding references). It is also fundamental to support the premises of the study, to underline the importance of the project in that particular time period and above all, of the materials and methods that will be employed. The rationale should accurately put in evidence the current lack in that field of scientific knowledge, following a precise, logical thread with concrete solutions regarding how to overcome the gaps and to conclude with the hypothesis of the project. A distinct paragraph can be dedicated to references, paying attention to select only the previous papers that can help the reader to focus the attention on the topic and to not excessively extend the list. In the references paragraph, the main studies regarding the object of the research but also state-of-art reviews updating the most recent discoveries in the field should be inserted.

The section should successively expose the study design: monocentric or multicentric, retrospective or prospective, controlled or uncontrolled, open-label or blinded, randomized or nonrandomized, and observational or experimental. It should also be explained why that particular design has been chosen.

At this point, the author must include the primary objective of the research, that is, the main goal of the study. This is a crucial part of the proposal and more than 4–5 aims should be avoided to do not reduce the accuracy of the project. Using verbs as “to demonstrate,” “to assess,” “to verify,” “to improve,” “to reduce,” and “to compare” help to give relevance to this section. Add also a description of the general characteristics of the population that will be enrolled in the study (if different subgroups are planned, the criteria on the base of which they will be divided should be specified); primary and secondary end-points, including all the variables that represent the measure of the objective (e.g., all-cause death, cardiovascular death, hospitalization, and side effects of a drug) follow in this section.

All the single parameters and variables that will be assessed during the study must be accurately and precisely listed along with the tools, the methods, the process schedule timing, and the technical details by which they will be acquired; Here, the author should explain how the Investigators who work in the other involved centers have to sent their results and acquired data to the Core Laboratory (e.g. by filled databases or by sending images).

A special attention must then be paid to clarify the planning of each examination the study patients will undergo: basal evaluation, potential follow-up schedule, treatment strategy plan, comparison between new and already-in-use drugs, dose and dosage of the treatment in case of a pharmacological study. This part can be enhanced by flowcharts or algorithms that allow a more immediate comprehension and interpretation of the study strategy.

This section may result more complete if one more subsection, illustrating the expected results, is included. Considering the idea at the base on the project, the endpoints and the pre-arranged objectives, the author can explain how its research project will

• Contribute to optimize the scientific knowledge in that specific field
• Give real successive implications in clinical practice
• Pave the way for future scientific research in the same or similar area of interest, etc.

The study population must be specified in detail, starting from inclusion criteria (including age and gender if it is planned to be restricted) and exclusion criteria: the more precise are the lists, the more accurate the enrollment of the subjects will be to avoid selection biases. This will also help to raise the success rate of the project and to reduce the risks of statistical error during the successive analysis of the data. The sample size should be planned and justified on the base of a statistic calculation considering the incidence and prevalence of the disease, frequency of use of a drug, etc., and possibly also indicating if the study considers a minimal or maximal number of subjects for each enrollment center (in case of multicentric studies).

This section of the protocol should end with some indications regarding timing and duration of the study: Starting and end of enrollment date, starting and end of inclusion date, potential frequency of control examinations, and timing of the analysis of the acquired data. If already settled, it can be useful to indicate also the type of statistical analysis that the investigators will apply to the data.

It is always necessary to prepare an informed consent to be proposed to the patient where premises, methods, and aims of the research together with advantages (e.g., some visits or diagnostic examinations for free) and possible risks derived from the participation to the study.

In this short section, various pieces of information regarding safety of the study must be added (a classification is fundamental in case of studies that expect the use of invasive procedures or drugs use). Usually, for nonobservational studies, an insurance coverage must be considered.

If the investigators have requested or plan to request funding or financial support, all the obtained resources must be listed to avoid conflicts of interest.

C ONCLUSION

Writing a complete and detailed document is a paramount step before starting a research projects. The protocol, as described in this paper, should be simply and correctly written but must clarify all the aspects of the protocol. The document could be divided into three different sessions to give all the parts the appropriate attention.

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Writing a Research Paper Introduction | Step-by-Step Guide

Published on September 24, 2022 by Jack Caulfield . Revised on March 27, 2023.

The introduction to a research paper is where you set up your topic and approach for the reader. It has several key goals:

• Present your topic and get the reader interested
• Provide background or summarize existing research
• Position your own approach
• Detail your specific research problem and problem statement
• Give an overview of the paper’s structure

The introduction looks slightly different depending on whether your paper presents the results of original empirical research or constructs an argument by engaging with a variety of sources.

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Table of contents

Step 1: introduce your topic, step 2: describe the background, step 3: establish your research problem, step 4: specify your objective(s), step 5: map out your paper, research paper introduction examples, frequently asked questions about the research paper introduction.

The first job of the introduction is to tell the reader what your topic is and why it’s interesting or important. This is generally accomplished with a strong opening hook.

The hook is a striking opening sentence that clearly conveys the relevance of your topic. Think of an interesting fact or statistic, a strong statement, a question, or a brief anecdote that will get the reader wondering about your topic.

For example, the following could be an effective hook for an argumentative paper about the environmental impact of cattle farming:

A more empirical paper investigating the relationship of Instagram use with body image issues in adolescent girls might use the following hook:

Don’t feel that your hook necessarily has to be deeply impressive or creative. Clarity and relevance are still more important than catchiness. The key thing is to guide the reader into your topic and situate your ideas.

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This part of the introduction differs depending on what approach your paper is taking.

In a more argumentative paper, you’ll explore some general background here. In a more empirical paper, this is the place to review previous research and establish how yours fits in.

Argumentative paper: Background information

After you’ve caught your reader’s attention, specify a bit more, providing context and narrowing down your topic.

Provide only the most relevant background information. The introduction isn’t the place to get too in-depth; if more background is essential to your paper, it can appear in the body .

Empirical paper: Describing previous research

For a paper describing original research, you’ll instead provide an overview of the most relevant research that has already been conducted. This is a sort of miniature literature review —a sketch of the current state of research into your topic, boiled down to a few sentences.

This should be informed by genuine engagement with the literature. Your search can be less extensive than in a full literature review, but a clear sense of the relevant research is crucial to inform your own work.

Begin by establishing the kinds of research that have been done, and end with limitations or gaps in the research that you intend to respond to.

The next step is to clarify how your own research fits in and what problem it addresses.

Argumentative paper: Emphasize importance

In an argumentative research paper, you can simply state the problem you intend to discuss, and what is original or important about your argument.

Empirical paper: Relate to the literature

In an empirical research paper, try to lead into the problem on the basis of your discussion of the literature. Think in terms of these questions:

• What research gap is your work intended to fill?
• What limitations in previous work does it address?
• What contribution to knowledge does it make?

You can make the connection between your problem and the existing research using phrases like the following.

Now you’ll get into the specifics of what you intend to find out or express in your research paper.

The way you frame your research objectives varies. An argumentative paper presents a thesis statement, while an empirical paper generally poses a research question (sometimes with a hypothesis as to the answer).

Argumentative paper: Thesis statement

The thesis statement expresses the position that the rest of the paper will present evidence and arguments for. It can be presented in one or two sentences, and should state your position clearly and directly, without providing specific arguments for it at this point.

Empirical paper: Research question and hypothesis

The research question is the question you want to answer in an empirical research paper.

Present your research question clearly and directly, with a minimum of discussion at this point. The rest of the paper will be taken up with discussing and investigating this question; here you just need to express it.

A research question can be framed either directly or indirectly.

• This study set out to answer the following question: What effects does daily use of Instagram have on the prevalence of body image issues among adolescent girls?
• We investigated the effects of daily Instagram use on the prevalence of body image issues among adolescent girls.

If your research involved testing hypotheses , these should be stated along with your research question. They are usually presented in the past tense, since the hypothesis will already have been tested by the time you are writing up your paper.

For example, the following hypothesis might respond to the research question above:

The final part of the introduction is often dedicated to a brief overview of the rest of the paper.

In a paper structured using the standard scientific “introduction, methods, results, discussion” format, this isn’t always necessary. But if your paper is structured in a less predictable way, it’s important to describe the shape of it for the reader.

If included, the overview should be concise, direct, and written in the present tense.

• This paper will first discuss several examples of survey-based research into adolescent social media use, then will go on to …
• This paper first discusses several examples of survey-based research into adolescent social media use, then goes on to …

Full examples of research paper introductions are shown in the tabs below: one for an argumentative paper, the other for an empirical paper.

• Argumentative paper
• Empirical paper

Are cows responsible for climate change? A recent study (RIVM, 2019) shows that cattle farmers account for two thirds of agricultural nitrogen emissions in the Netherlands. These emissions result from nitrogen in manure, which can degrade into ammonia and enter the atmosphere. The study’s calculations show that agriculture is the main source of nitrogen pollution, accounting for 46% of the country’s total emissions. By comparison, road traffic and households are responsible for 6.1% each, the industrial sector for 1%. While efforts are being made to mitigate these emissions, policymakers are reluctant to reckon with the scale of the problem. The approach presented here is a radical one, but commensurate with the issue. This paper argues that the Dutch government must stimulate and subsidize livestock farmers, especially cattle farmers, to transition to sustainable vegetable farming. It first establishes the inadequacy of current mitigation measures, then discusses the various advantages of the results proposed, and finally addresses potential objections to the plan on economic grounds.

The rise of social media has been accompanied by a sharp increase in the prevalence of body image issues among women and girls. This correlation has received significant academic attention: Various empirical studies have been conducted into Facebook usage among adolescent girls (Tiggermann & Slater, 2013; Meier & Gray, 2014). These studies have consistently found that the visual and interactive aspects of the platform have the greatest influence on body image issues. Despite this, highly visual social media (HVSM) such as Instagram have yet to be robustly researched. This paper sets out to address this research gap. We investigated the effects of daily Instagram use on the prevalence of body image issues among adolescent girls. It was hypothesized that daily Instagram use would be associated with an increase in body image concerns and a decrease in self-esteem ratings.

The introduction of a research paper includes several key elements:

• A hook to catch the reader’s interest
• Relevant background on the topic
• Details of your research problem

and your problem statement

• A thesis statement or research question
• Sometimes an overview of the paper

Don’t feel that you have to write the introduction first. The introduction is often one of the last parts of the research paper you’ll write, along with the conclusion.

This is because it can be easier to introduce your paper once you’ve already written the body ; you may not have the clearest idea of your arguments until you’ve written them, and things can change during the writing process .

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis —a prediction that will be confirmed or disproved by your research.

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Home » Research Methodology – Types, Examples and writing Guide

Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.

Structure of Research Methodology

Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:

I. Introduction

• Provide an overview of the research problem and the need for a research methodology section
• Outline the main research questions and objectives

II. Research Design

• Explain the research design chosen and why it is appropriate for the research question(s) and objectives
• Discuss any alternative research designs considered and why they were not chosen
• Describe the research setting and participants (if applicable)

III. Data Collection Methods

• Describe the methods used to collect data (e.g., surveys, interviews, observations)
• Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or instruments used for data collection

IV. Data Analysis Methods

• Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
• Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or software used for data analysis

V. Ethical Considerations

• Discuss any ethical issues that may arise from the research and how they were addressed
• Explain how informed consent was obtained (if applicable)
• Detail any measures taken to ensure confidentiality and anonymity

VI. Limitations

• Identify any potential limitations of the research methodology and how they may impact the results and conclusions

VII. Conclusion

• Summarize the key aspects of the research methodology section
• Explain how the research methodology addresses the research question(s) and objectives

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.

Qualitative Research Methodology

This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.

Mixed-Methods Research Methodology

This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.

Case Study Research Methodology

This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.

Action Research Methodology

This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.

Experimental Research Methodology

This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.

Survey Research Methodology

This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.

Grounded Theory Research Methodology

This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.

Research Methodology Example

An Example of Research Methodology could be the following:

Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults

Introduction:

The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.

Research Design:

The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.

Participants:

Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.

Intervention :

The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.

Data Collection:

Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.

Data Analysis:

Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.

Ethical Considerations:

This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.

Data Management:

All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.

Limitations:

One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.

Conclusion:

This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.

How to Write Research Methodology

Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:

• Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
• Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
• Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
• Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
• Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
• Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
• Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
• Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.

When to Write Research Methodology

Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.

The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.

The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.

Applications of Research Methodology

Here are some of the applications of research methodology:

• To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
• To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
• To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
• To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
• To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
• To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
• To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
• To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
• To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.

Purpose of Research Methodology

Research methodology serves several important purposes, including:

• To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
• To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
• To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
• To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
• To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.

Advantages of Research Methodology

Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:

• Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
• Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
• Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
• Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
• Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
• Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
• Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
• Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.

Research Methodology Vs Research Methods

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How to Write a Research Summary: Comprehensive Student Guide

With a Juris Bachelor's degree and a decade of legal practice, Darious Davson excels in creating compelling and authoritative academic papers in Law and Ethics. His work is a testament to his profound knowledge of the legal system and commitment to upholding ethical writing practices. So, this experienced paper writer is your top-tier pick!

A research summary is a short version of a long research paper. It stresses the important points of the original work and introduces the reader to the main results of the work. Hence, the reader can quickly grasp the main idea and conclusion without reading the document. We created this guide to simplify writing a well-researched summary. So, let us explain things simply and clearly.

What is a Research Summary, and Why Is It Important?

Let's start with some basic terminology. A research summary is the short form of the research paper that covers the major aspects of a major research project. It covers the research's main ideas, techniques, findings, and conclusions. The summary is central in that it enables other people to effortlessly understand the essentials of your writing in a short time.

So, what is a research summary? Now you know the answer. Abstracts can help decide whether the full research paper is relevant to their needs. Furthermore, these social channels are frequently used to share the research findings with a general audience who may not have time or need to read the full paper.

When to Write a Summary?

Your research summary should be written after you have completed your research. This is critical because you must be able to present your research findings concisely without leaving anything out. Summaries can be needed when academic materials are being assessed, like in college assignments or science periodicals.

They are effective when submitting research grants or presenting your work at conferences. By summarising your research clearly and concisely, you enable your audience to grasp the information more easily and quickly. This way, your readers will be able to perceive the value of your work and engage with it on a deeper level. As you can see, writing a research paper summary is not rocket science.

Formatting Guidelines for Research Paper Summaries

Properly formatting your research summary is a key point of readability and professionalism. It guarantees that the flow of your summary is kept to the standard of academic writing. Just stick to these rules:

• Use a clear, readable font like Times New Roman or Arial, size 12.
• Set margins to 1 inch on all sides.
• Keep the summary to one page, or about 250-300 words.
• Use double spacing to enhance readability.
• Align your text to the left; this makes it easier to read.
• Include a concise title at the top of your summary.

These guidelines help you build a good summary and help your audience understand your writing. A well-formatted summary allows readers to concentrate on the content, not the arrangement, making your research more effective. So, always try to learn how to summarize a research paper correctly.

Types of Research Paper Summaries

How to Write a Research Summary – Typical Steps

A research summary comprises several steps to produce an understandable and concise article. The summary systematically breaks down the research into bite-size pieces that allow the audience to grasp the study's core aspects. This helps preserve the authenticity and nature of the original research work in a way that is easy to understand.

Read the Text

Reading a research paper before you can start the summary is very important. Begin by reading the whole document thoroughly to get an understanding of the main issues and the objectives of the document. Look for the introductory and concluding paragraphs, which usually contain the major ideas and conclusions. Following this first reading, try to read through the text two or three more times to take a closer look at the research methods, data analysis, and some of the specific findings.

Here is how to write a research summary. Remembering the authors' key phrases and technical words is crucial – these words are like the foundation for understanding the research context accurately. So, master research paper summary writing every day!

Break the Text Down Into Sections

So, the next step is to split it into the logical parts of the paper. This part of the thesis is built around the main issues of the research: the research problem, the methodology, the findings, and the conclusions. This section should be assessed individually and about the overall research to determine the significance of each part.

Spend some time looking for the main idea in each part and trying to understand how they all come together to tell the research story. This process enables readers to comprehend the text better and organize the research summary meaningfully. Segmenting the text so that all key information is present in the summary and that the summarized work accurately represents the research makes this goal possible. Are you not ready to write on your own? Just say, “Write my essay for me!” We are always ready to assist!

Identify the Key Points in Each Section

The key points in each section are identified to create a powerful summary. This is the process of isolating the key details of utmost significance to the findings and the research objectives. So, stick to this research paper summary structure guide:

By identifying these main ideas, you can be certain that the summary covers the essence of the research, presenting a clear and concise version of the original paper. Now, you know how to write a research summary.

Write the Summary

The research summary is written to combine the main points you selected into a single but comprehensive paragraph. First, the main subject of the research will be set down, as well as its goals. A brief outline of the methodology will follow this to provide an overview of the study results. Last, the crucial results are indicated; only those data directly related to the research purpose.

Discuss the results of this study, and write the final remarks and the summary of the original paper. It is important to stay objective and avoid giving personal views or understanding. So, summarizing a research paper effectively is not that difficult.

Check the Summary Against the Article

Now that you have your summary, you must see if it matches the original article. This comparison makes sure that the summary is in line with the research and that any significant information is not left out or interpretation is not misplaced. Check if the summary keeps the original focus, especially concerning the research aims and outcomes. Here is how to write a research summary correctly.

Writing an effective research paper summary is paramount. Ensure there are no technical term errors and avoid personal interpretations or unnecessary details. This verification might involve reading more than once, concentrating on details such as precision, completeness, and readability. Besides, check out our latest article on mastering the research paper format for students!

Crucial Writing Tips to Follow

To write a good research summary, you must grasp the research content and know the skills that make a summary useful and interesting. Following several writing guidelines will ensure that your conclusion is relevant and brief. As a result, your summary will serve its purpose as a valuable academic tool.

Understand the Assignment

Summarizing research findings is crucial. Before submitting your summary, you should grasp all the assignment requirements. The purpose and the specific requirements are the first steps to figuring out your writing focus and approach. Here is what you should understand:

• Length: Check the required length to ensure your summary meets the guidelines.
• Format: Understand the formatting requirements, including font type, size, and margin specifications.
• Deadline: Know your deadline to manage your time effectively.

Knowledge of these elements helps you firmly establish the basis of your writing. It is a very helpful tool because it structures your work according to the needs of your assignment and ensures that the content of your summary is to the point and at the expected level. Here is how to write a research summary properly.

Identify Key Points

It is important to say that identifying the key points in the research may be the most vital part of writing a research summary. First, scrutinize the original article thoroughly, highlighting the central ideas and major findings. Be meticulous while working on the thesis statement because it is a core part of the paper and represents the essay's main idea. It is also essential to comprehend the methodology since the results are interpreted within the context of the methodology.

Use different research paper summary techniques. While emphasizing the data that directly reinforces the research findings, do not forget to include the results irrelevant to the main conclusion. Ensure you mention the talks about the effects and limitations of the obtained results. A powerful summary focuses on these important aspects.

Paraphrase Succinctly

The skill of paraphrasing is crucial for a research paper. According to the University of Connecticut, this process involves reformulating the original text to create a summary with the same meaning as the original but only in clear and short words. When paraphrasing, try to avoid using too many difficult words and expressions, but at the same time, do not let the main terms of the text and the results escape your attention.

Here is how to write a summary. Use synonyms and reword sentences to produce a text that is not a copy of the original. This prevents plagiarism and makes the content friendly and understandable to audiences of diverse backgrounds.

Focus on Structure

Do you need more research paper summary guidelines? Ok! The structure of a research summarization should allow the reader to read through it effortlessly and easily understand its contents. Begin by presenting an introduction that provides context by mentioning the research subject, purpose, and significance. Besides, you can always start with a proper research summary example. Every part should be presented one after the other, and the story should continue to the end using transitions that will aid the reader in following the summary easily.

Highlight the Significance and Implications

Here is what you should learn before checking research paper summary examples. Research summaries must always be written to highlight the importance of research and its wider implications. This emphasis facilitates readers to perceive how the study is important and related to the field. So, here is what you should do:

• Describe how the findings contribute to existing knowledge.
• Suggest how the results can be applied in real-world settings.
• Indicate potential directions for further investigation.
• Discuss how the study advances theoretical frameworks or concepts.

And stick to the research paper summary format. This will ensure that your summary reflects the research's outcomes and gives them a central role. It will also help strengthen your summary and make it more interesting and informative, directly linking the study to the wider field context.

Review and Revise

Last but not least, in writing a research summary is the revision and review of the document. This is a crucial step in summarizing, as it helps avoid inaccuracies, ambiguities, and lengthy sentences. First, read your abstract carefully to determine whether it reflects the original research without too much detail. Proofread for all the grammatical issues or phrases that can be misleading to the reader.

Besides, know all the tips for writing a research paper summary. Complying with the correct use of technical terms and formatting guidelines, if any, is essential. Ask a friend or a mentor to edit your summary; a new set of eyes can bring a new perspective and reveal things you would not have noticed.

Writing a Standout Summary: Things to Avoid

While writing a research summary, it's important to watch out for common pitfalls that can erode its quality and effectiveness. These errors will make your summary clearer and have the desired impact. Therefore, paying attention to them will help you summarize the research work precisely and accurately.

Plagiarism is a vital matter to consider when preparing any academic writing, particularly research summaries. It is the act of copying or taking someone else's ideas and expressions and presenting them as one's work without permission or acknowledgement. To avoid plagiarism, ensure that you paraphrase the original text by expressing the ideas in your own words and that the original sentence is unchanged.

So, find a good research summary example. Correct citation of the direct quotations and key concepts borrowed from the source material is also crucial. Utilizing plagiarism detection software may provide a means to verify that your work is plagiarism-free. Knowing and respecting intellectual property rights can safeguard academic integrity and stimulate in-depth knowledge and the true presentation of results.

Excessive Detail

The most common error while writing a summary is including too many details. In this case, a summary will be the most important part of the research, where the researcher only has to pay attention to the objectives, methodology, key outcomes, and conclusions. Avoid the temptation to wade into the pool of minor details and complex data that do not contribute to an overall understanding of the research's main outcomes.

Rather than mixing the two, it is appropriate to find a balance between economy and fullness by considering the details essential for the reader to grasp the significance and impact of the research. Maintaining the brevity and focus of the summary makes it easier to read. It ensures that it is useful to the audience, who may not need or want a superficial amount of detail. Here is how to write a good summary!

Biased Interpretation

Interpretation may be biased, and this can distort factual comprehension. It is seen as a situation when personal opinion or judgment interferes with the presentation of research results. Here is what you need to do:

• Avoid Personal Opinions: Keep interpretations neutral and based on the data.
• Stick to the Facts: Refer directly to the research for support.
• Use Neutral Language: Avoid emotionally charged or suggestive language.

It is essential to be as objective as possible, concentrating only on what the research data and results demonstrate. This method certifies the accuracy of the summary, which reflects the research without being distorted by personal views or external influences. Just stick to the research summary format.

Misrepresentation of Results

Incorrect misinformation in a research summary can grossly skew the perception of the research and its validity. This mistake could be made if the summary is skewed, important data is omitted, or the results are out of context. So, it is mandatory always to portray the research findings accurately and completely. Ensure that the data mentioned in the summary is the same as the data and conclusions of the research article.

Here is how to write a good summary. We should not jump to conclusions unsupported by the original research or leave out the negative results that are important in inferring the whole study's outcome. Accuracy and fidelity in data reproduction make the summary a trustworthy and credible source for academic and professional settings, thus ensuring the research is an authentic and ethical representation.

Incomplete Coverage

Now, you know how to write a summary. An incomplete summary is worthless because it fails to present all the information crucial to learning about the research. This problem can originate from the lack of detail regarding the important results, the failure to describe the research context, or the omission of the implications and limitations of the study. Besides, find a good research summary template for practicing.

The utmost attention should be paid to systematically presenting all research components, including hypothesis, methodology, results, and conclusions. Also, emphasize any limitations or boundaries of the research that make your topic area more effective. In addition to the above, this detail-oriented approach goes beyond the mere credibility of the summary.

What is the purpose of a research paper summary?

You must concisely overview a research study's main ideas, findings, and implications.

How long should a research paper summary be?

It should be about one page long, between 250 and 300 words. However, ask your professor first.

What are the key differences between summarizing and paraphrasing?

Summarizing involves condensing a large amount of information into a brief overview. Paraphrasing is rewording a specific text or idea without significantly shortening it.

How can I ensure objectivity and conciseness in a research paper summary?

You should stick to the facts, use neutral language, and highlight essential points of your research.

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McKinsey Technology Trends Outlook 2023

After a tumultuous 2022 for technology investment and talent, the first half of 2023 has seen a resurgence of enthusiasm about technology’s potential to catalyze progress in business and society. Generative AI deserves much of the credit for ushering in this revival, but it stands as just one of many advances on the horizon that could drive sustainable, inclusive growth and solve complex global challenges.

To help executives track the latest developments, the McKinsey Technology Council  has once again identified and interpreted the most significant technology trends unfolding today. While many trends are in the early stages of adoption and scale, executives can use this research to plan ahead by developing an understanding of potential use cases and pinpointing the critical skills needed as they hire or upskill talent to bring these opportunities to fruition.

Our analysis examines quantitative measures of interest, innovation, and investment to gauge the momentum of each trend. Recognizing the long-term nature and interdependence of these trends, we also delve into underlying technologies, uncertainties, and questions surrounding each trend. This year, we added an important new dimension for analysis—talent. We provide data on talent supply-and-demand dynamics for the roles of most relevance to each trend. (For more, please see the sidebar, “Research methodology.”)

New and notable

All of last year’s 14 trends remain on our list, though some experienced accelerating momentum and investment, while others saw a downshift. One new trend, generative AI, made a loud entrance and has already shown potential for transformative business impact.

Research methodology

To assess the development of each technology trend, our team collected data on five tangible measures of activity: search engine queries, news publications, patents, research publications, and investment. For each measure, we used a defined set of data sources to find occurrences of keywords associated with each of the 15 trends, screened those occurrences for valid mentions of activity, and indexed the resulting numbers of mentions on a 0–1 scoring scale that is relative to the trends studied. The innovation score combines the patents and research scores; the interest score combines the news and search scores. (While we recognize that an interest score can be inflated by deliberate efforts to stimulate news and search activity, we believe that each score fairly reflects the extent of discussion and debate about a given trend.) Investment measures the flows of funding from the capital markets into companies linked with the trend. Data sources for the scores include the following:

• Patents. Data on patent filings are sourced from Google Patents.
• Research. Data on research publications are sourced from the Lens (www.lens.org).
• News. Data on news publications are sourced from Factiva.
• Searches. Data on search engine queries are sourced from Google Trends.
• Investment. Data on private-market and public-market capital raises are sourced from PitchBook.
• Talent demand. Number of job postings is sourced from McKinsey’s proprietary Organizational Data Platform, which stores licensed, de-identified data on professional profiles and job postings. Data is drawn primarily from English-speaking countries.

In addition, we updated the selection and definition of trends from last year’s study to reflect the evolution of technology trends:

• The generative-AI trend was added since last year’s study.
• We adjusted the definitions of electrification and renewables (previously called future of clean energy) and climate technologies beyond electrification and renewables (previously called future of sustainable consumption).
• Data sources were updated. This year, we included only closed deals in PitchBook data, which revised downward the investment numbers for 2018–22. For future of space technologies investments, we used research from McKinsey’s Aerospace & Defense Practice.

This new entrant represents the next frontier of AI. Building upon existing technologies such as applied AI and industrializing machine learning, generative AI has high potential and applicability across most industries. Interest in the topic (as gauged by news and internet searches) increased threefold from 2021 to 2022. As we recently wrote, generative AI and other foundational models  change the AI game by taking assistive technology to a new level, reducing application development time, and bringing powerful capabilities to nontechnical users. Generative AI is poised to add as much as $4.4 trillion in economic value from a combination of specific use cases and more diffuse uses—such as assisting with email drafts—that increase productivity. Still, while generative AI can unlock significant value, firms should not underestimate the economic significance and the growth potential that underlying AI technologies and industrializing machine learning can bring to various industries.

Investment in most tech trends tightened year over year, but the potential for future growth remains high, as further indicated by the recent rebound in tech valuations. Indeed, absolute investments remained strong in 2022, at more than $1 trillion combined, indicating great faith in the value potential of these trends. Trust architectures and digital identity grew the most out of last year’s 14 trends, increasing by nearly 50 percent as security, privacy, and resilience become increasingly critical across industries. Investment in other trends—such as applied AI, advanced connectivity, and cloud and edge computing—declined, but that is likely due, at least in part, to their maturity. More mature technologies can be more sensitive to short-term budget dynamics than more nascent technologies with longer investment time horizons, such as climate and mobility technologies. Also, as some technologies become more profitable, they can often scale further with lower marginal investment. Given that these technologies have applications in most industries, we have little doubt that mainstream adoption will continue to grow.

Organizations shouldn’t focus too heavily on the trends that are garnering the most attention. By focusing on only the most hyped trends, they may miss out on the significant value potential of other technologies and hinder the chance for purposeful capability building. Instead, companies seeking longer-term growth should focus on a portfolio-oriented investment across the tech trends most important to their business. Technologies such as cloud and edge computing and the future of bioengineering have shown steady increases in innovation and continue to have expanded use cases across industries. In fact, more than 400 edge use cases across various industries have been identified, and edge computing is projected to win double-digit growth globally over the next five years. Additionally, nascent technologies, such as quantum, continue to evolve and show significant potential for value creation. Our updated analysis for 2023 shows that the four industries likely to see the earliest economic impact from quantum computing—automotive, chemicals, financial services, and life sciences—stand to potentially gain up to $1.3 trillion in value by 2035. By carefully assessing the evolving landscape and considering a balanced approach, businesses can capitalize on both established and emerging technologies to propel innovation and achieve sustainable growth.

Tech talent dynamics

We can’t overstate the importance of talent as a key source in developing a competitive edge. A lack of talent is a top issue constraining growth. There’s a wide gap between the demand for people with the skills needed to capture value from the tech trends and available talent: our survey of 3.5 million job postings in these tech trends found that many of the skills in greatest demand have less than half as many qualified practitioners per posting as the global average. Companies should be on top of the talent market, ready to respond to notable shifts and to deliver a strong value proposition to the technologists they hope to hire and retain. For instance, recent layoffs in the tech sector may present a silver lining for other industries that have struggled to win the attention of attractive candidates and retain senior tech talent. In addition, some of these technologies will accelerate the pace of workforce transformation. In the coming decade, 20 to 30 percent of the time that workers spend on the job could be transformed by automation technologies, leading to significant shifts in the skills required to be successful. And companies should continue to look at how they can adjust roles or upskill individuals to meet their tailored job requirements. Job postings in fields related to tech trends grew at a very healthy 15 percent between 2021 and 2022, even though global job postings overall decreased by 13 percent. Applied AI and next-generation software development together posted nearly one million jobs between 2018 and 2022. Next-generation software development saw the most significant growth in number of jobs (exhibit).

Image description:

Small multiples of 15 slope charts show the number of job postings in different fields related to tech trends from 2021 to 2022. Overall growth of all fields combined was about 400,000 jobs, with applied AI having the most job postings in 2022 and experiencing a 6% increase from 2021. Next-generation software development had the second-highest number of job postings in 2022 and had 29% growth from 2021. Other categories shown, from most job postings to least in 2022, are as follows: cloud and edge computing, trust architecture and digital identity, future of mobility, electrification and renewables, climate tech beyond electrification and renewables, advanced connectivity, immersive-reality technologies, industrializing machine learning, Web3, future of bioengineering, future of space technologies, generative AI, and quantum technologies.

End of image description.

This bright outlook for practitioners in most fields highlights the challenge facing employers who are struggling to find enough talent to keep up with their demands. The shortage of qualified talent has been a persistent limiting factor in the growth of many high-tech fields, including AI, quantum technologies, space technologies, and electrification and renewables. The talent crunch is particularly pronounced for trends such as cloud computing and industrializing machine learning, which are required across most industries. It’s also a major challenge in areas that employ highly specialized professionals, such as the future of mobility and quantum computing (see interactive).

Michael Chui is a McKinsey Global Institute partner in McKinsey’s Bay Area office, where Mena Issler is an associate partner, Roger Roberts  is a partner, and Lareina Yee  is a senior partner.

The authors wish to thank the following McKinsey colleagues for their contributions to this research: Bharat Bahl, Soumya Banerjee, Arjita Bhan, Tanmay Bhatnagar, Jim Boehm, Andreas Breiter, Tom Brennan, Ryan Brukardt, Kevin Buehler, Zina Cole, Santiago Comella-Dorda, Brian Constantine, Daniela Cuneo, Wendy Cyffka, Chris Daehnick, Ian De Bode, Andrea Del Miglio, Jonathan DePrizio, Ivan Dyakonov, Torgyn Erland, Robin Giesbrecht, Carlo Giovine, Liz Grennan, Ferry Grijpink, Harsh Gupta, Martin Harrysson, David Harvey, Kersten Heineke, Matt Higginson, Alharith Hussin, Tore Johnston, Philipp Kampshoff, Hamza Khan, Nayur Khan, Naomi Kim, Jesse Klempner, Kelly Kochanski, Matej Macak, Stephanie Madner, Aishwarya Mohapatra, Timo Möller, Matt Mrozek, Evan Nazareth, Peter Noteboom, Anna Orthofer, Katherine Ottenbreit, Eric Parsonnet, Mark Patel, Bruce Philp, Fabian Queder, Robin Riedel, Tanya Rodchenko, Lucy Shenton, Henning Soller, Naveen Srikakulam, Shivam Srivastava, Bhargs Srivathsan, Erika Stanzl, Brooke Stokes, Malin Strandell-Jansson, Daniel Wallance, Allen Weinberg, Olivia White, Martin Wrulich, Perez Yeptho, Matija Zesko, Felix Ziegler, and Delphine Zurkiya.

They also wish to thank the external members of the McKinsey Technology Council.

This interactive was designed, developed, and edited by McKinsey Global Publishing’s Nayomi Chibana, Victor Cuevas, Richard Johnson, Stephanie Jones, Stephen Landau, LaShon Malone, Kanika Punwani, Katie Shearer, Rick Tetzeli, Sneha Vats, and Jessica Wang.

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Introducing Microsoft 365 Copilot – your copilot for work

Mar 16, 2023 | Jared Spataro - CVP, AI at Work

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Humans are hard-wired to dream, to create, to innovate. Each of us seeks to do work that gives us purpose — to write a great novel, to make a discovery, to build strong communities, to care for the sick. The urge to connect to the core of our work lives in all of us. But today, we spend too much time consumed by the drudgery of work on tasks that zap our time, creativity and energy. To reconnect to the soul of our work, we don’t just need a better way of doing the same things. We need a whole new way to work.

Today, we are bringing the power of next-generation AI to work. Introducing Microsoft 365 Copilot — your copilot for work . It combines the power of large language models (LLMs) with your data in the Microsoft Graph and the Microsoft 365 apps to turn your words into the most powerful productivity tool on the planet.

“Today marks the next major step in the evolution of how we interact with computing, which will fundamentally change the way we work and unlock a new wave of productivity growth,” said Satya Nadella, Chairman and CEO, Microsoft. “With our new copilot for work, we’re giving people more agency and making technology more accessible through the most universal interface — natural language.”

Copilot is integrated into Microsoft 365 in two ways. It works alongside you, embedded in the Microsoft 365 apps you use every day — Word, Excel, PowerPoint, Outlook, Teams and more — to unleash creativity, unlock productivity and uplevel skills. Today we’re also announcing an entirely new experience: Business Chat . Business Chat works across the LLM, the Microsoft 365 apps, and your data — your calendar, emails, chats, documents, meetings and contacts — to do things you’ve never been able to do before. You can give it natural language prompts like “Tell my team how we updated the product strategy,” and it will generate a status update based on the morning’s meetings, emails and chat threads.

With Copilot, you’re always in control. You decide what to keep, modify or discard. Now, you can be more creative in Word, more analytical in Excel, more expressive in PowerPoint, more productive in Outlook and more collaborative in Teams.

Microsoft 365 Copilot transforms work in three ways:

Unleash creativity. With Copilot in Word, you can jump-start the creative process so you never start with a blank slate again. Copilot gives you a first draft to edit and iterate on — saving hours in writing, sourcing, and editing time. Sometimes Copilot will be right, other times usefully wrong — but it will always put you further ahead. You’re always in control as the author, driving your unique ideas forward, prompting Copilot to shorten, rewrite or give feedback. Copilot in PowerPoint helps you create beautiful presentations with a simple prompt, adding relevant content from a document you made last week or last year. And with Copilot in Excel, you can analyze trends and create professional-looking data visualizations in seconds.

Unlock productivity. We all want to focus on the 20% of our work that really matters, but 80% of our time is consumed with busywork that bogs us down. Copilot lightens the load. From summarizing long email threads to quickly drafting suggested replies, Copilot in Outlook helps you clear your inbox in minutes, not hours. And every meeting is a productive meeting with Copilot in Teams. It can summarize key discussion points — including who said what and where people are aligned and where they disagree — and suggest action items, all in real time during a meeting. And with Copilot in Power Platform, anyone can automate repetitive tasks, create chatbots and go from idea to working app in minutes.

GitHub data shows that Copilot promises to unlock productivity for everyone. Among developers who use GitHub Copilot, 88% say they are more productive, 74% say that they can focus on more satisfying work, and 77% say it helps them spend less time searching for information or examples.

But Copilot doesn’t just supercharge individual productivity. It creates a new knowledge model for every organization — harnessing the massive reservoir of data and insights that lies largely inaccessible and untapped today. Business Chat works across all your business data and apps to surface the information and insights you need from a sea of data — so knowledge flows freely across the organization, saving you valuable time searching for answers. You will be able to access Business Chat from Microsoft 365.com, from Bing when you’re signed in with your work account, or from Teams.

Uplevel skills. Copilot makes you better at what you’re good at and lets you quickly master what you’ve yet to learn. The average person uses only a handful of commands — such as “animate a slide” or “insert a table” — from the thousands available across Microsoft 365. Now, all that rich functionality is unlocked using just natural language. And this is only the beginning.

Copilot will fundamentally change how people work with AI and how AI works with people. As with any new pattern of work, there’s a learning curve — but those who embrace this new way of working will quickly gain an edge.

The Copilot System: Enterprise-ready AI

Microsoft is uniquely positioned to deliver enterprise-ready AI with the Copilot System . Copilot is more than OpenAI’s ChatGPT embedded into Microsoft 365. It’s a sophisticated processing and orchestration engine working behind the scenes to combine the power of LLMs, including GPT-4, with the Microsoft 365 apps and your business data in the Microsoft Graph — now accessible to everyone through natural language.

Grounded in your business data. AI-powered LLMs are trained on a large but limited corpus of data. The key to unlocking productivity in business lies in connecting LLMs to your business data — in a secure, compliant, privacy-preserving way. Microsoft 365 Copilot has real-time access to both your content and context in the Microsoft Graph. This means it generates answers anchored in your business content — your documents, emails, calendar, chats, meetings, contacts and other business data — and combines them with your working context — the meeting you’re in now, the email exchanges you’ve had on a topic, the chat conversations you had last week — to deliver accurate, relevant, contextual responses.

Built on Microsoft’s comprehensive approach to security, compliance and privacy. Copilot is integrated into Microsoft 365 and automatically inherits all your company’s valuable security, compliance, and privacy policies and processes. Two-factor authentication, compliance boundaries, privacy protections, and more make Copilot the AI solution you can trust.

Architected to protect tenant, group and individual data. We know data leakage is a concern for customers. Copilot LLMs are not trained on your tenant data or your prompts. Within your tenant, our time-tested permissioning model ensures that data won’t leak across user groups. And on an individual level, Copilot presents only data you can access using the same technology that we’ve been using for years to secure customer data.

Integrated into the apps millions use every day. Microsoft 365 Copilot is integrated in the productivity apps millions of people use and rely on every day for work and life — Word, Excel, PowerPoint, Outlook, Teams and more. An intuitive and consistent user experience ensures it looks, feels and behaves the same way in Teams as it does in Outlook, with a shared design language for prompts, refinements and commands.

Designed to learn new skills.  Microsoft 365 Copilot’s foundational skills are a game changer for productivity: It can already create, summarize, analyze, collaborate and automate using your specific business content and context. But it doesn’t stop there. Copilot knows how to command apps (e.g., “animate this slide”) and work across apps, translating a Word document into a PowerPoint presentation. And Copilot is designed to learn new skills. For example, with Viva Sales, Copilot can learn how to connect to CRM systems of record to pull customer data — like interaction and order histories — into communications. As Copilot learns about new domains and processes, it will be able to perform even more sophisticated tasks and queries.

Committed to building responsibly

At Microsoft, we are guided by our AI principles and Responsible AI Standard and decades of research on AI, grounding and privacy-preserving machine learning. A multidisciplinary team of researchers, engineers and policy experts reviews our AI systems for potential harms and mitigations — refining training data, filtering to limit harmful content, query- and result-blocking sensitive topics, and applying Microsoft technologies like InterpretML and Fairlearn to help detect and correct data bias. We make it clear how the system makes decisions by noting limitations, linking to sources, and prompting users to review, fact-check and adjust content based on subject-matter expertise.

Moving boldly as we learn  

In the months ahead, we’re bringing Copilot to all our productivity apps—Word, Excel, PowerPoint, Outlook, Teams, Viva, Power Platform, and more. We’ll share more on pricing and licensing soon. Earlier this month we announced Dynamics 365 Copilot as the world’s first AI Copilot in both CRM and ERP to bring the next-generation AI to every line of business.

Everyone deserves to find purpose and meaning in their work — and Microsoft 365 Copilot can help. To serve the unmet needs of our customers, we must move quickly and responsibly, learning as we go. We’re testing Copilot with a small group of customers to get feedback and improve our models as we scale, and we will expand to more soon.

Learn more on the Microsoft 365 blog and visit WorkLab to get expert insights on how AI will create a brighter future of work for everyone.

And for all the blogs, videos and assets related to today’s announcements, please visit our microsite .

Tags: AI , Microsoft 365 , Microsoft 365 Copilot

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