Reading Primary Scientific Literature¶

There are different ways of communicating science: Dance Your Thesis

Perhaps the most direct are primary research articles.

Elements of a scientific paper¶

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A workflow for reading papers¶

Breaking down the steps of reading primary scientitif literature

From Jennifer Raff's blog post: How to Read and Understand a Scientific Paper

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Working through the workflow..¶

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Working through a paper¶

A general bio data science paper: A saturated map of common genetic vairants associated with human height

Title Image

Step 1. Read the INTRODUCTION¶

  • have to skip over the abstract even though it is the first thing presented and (sometimes) the only free section
  • write down every word you do not know or is confusing in its context
Introduction

Step 2. Identify the BIG question¶

  • circle sentences from the introduction
  • succinctly re-write what question this paper is trying to answer or problem is it trying to solve
  • focus on why the research is being done
  • be wary of agenda-motivated research

Step 3. Summarize in the background in < 6 sentences¶

  • what work has been done in the field already?
  • what knowledge gaps or limitations remain?
  • according to the authors, what should be done next to address these?

Step 4. Identify the SPECIFIC question(s)¶

  • what question exactly are the authors trying to answer?
  • are the multiple questions or just one?
  • identify any null hypotheses being tested

Step 5. Identify the approach¶

  • what are the authors going to do to answer the specific questions?
Graphical Abstract

Step 6. Read the METHODS¶

  • draw a diagram for each experiment
  • write down methods you need to look-up to understand the results
  • if it is a "methods paper", look for context with notes from the introduction
  • note if any methods reference supplemental material (and where the main methods are...)
Methods Map

Step 7. Read the RESULTS¶

  • write some paragraphs to summarize each paragraph, figure, table
  • don't worry about what the results mean yet, just note what they are
  • read figure and table legends carefully - the information in them may not be in the body of the text
  • pay attention to the words "significant" and "non-significant" (stats)
  • do graphs have error bars? Do they show the original data and sample size?
  • check supplemental data, available at the end of the paper or online

Step 8. Determine whether the results answer the specific questions¶

  • now re-read your notes and think about what the results may mean
  • form an opinion before moving on - it is OK to change your opinion later
  • note if any results are unexpected given what you noted in the introduction

Step 9. Read the DISCUSSION¶

  • what do they authors think/say what the results mean?
  • it is OK if your opnion is different
  • can you think of any alternative explanations for the results?
  • are any weakness or limitations noted? can you think of any (others)?
  • what do the authors suggest as next steps and can you think of different ones?

Step 10. Read the ABSTRACT¶

  • does it fit the paper as you now understand it?
Abstract

Step 11. Explore what other researchers say about the paper¶

  • try and find experts in the fields and if they have commented
  • are there any criticisims you had thought of, or new ones?
  • check in any general publications have picked up the story
  • find other papers that cite this one and what they say it says
  • are the public reviews of the paper or its supporting grants

Open peer review: Peer review file

Comments Similar Cited Funding

Step 12 cont.¶

A news release: Largest genome-wide association study ever uncovers nearly all genetic variants linked to height

Title Image

Step 12. Take a break, then repeat as necessary¶

  • this is a lot if information to take in, give it some time to consolidate
  • experts in any field take multiple passesses to fully understand a paper
  • on subsequent reads, re-use and mark-up your notes to build on them
  • data science papers often have (funding-mandated) data and code availability links
Data Code

In Summary¶

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Further resources¶

  • Annotated papers: Science in the Classroom