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Added an additional paragraph to section 2.3.2 detailing how qualitative research data might differ from quantitative. Included bullet points with specific examples.

Cephalopd and others added 3 commits September 30, 2025 12:22
…e to include guidance for qualitative data. Specifically a new paragraph and new bullet points with example folders.
(introduction)=
# Principles of Reproducibility

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@nick-ulle nick-ulle Oct 16, 2025

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This is left over from when we did the demo of how to build the reader.

Could you please restore this file to the version in commit cac7881?

  1. Check that you don't have any uncommitted changes to the file by running:

    git status
    

    If the file has changes, you can use git stash to temporarily save and remove them (and git stash pop to bring them back later).

  2. Then run (at the top level of the repository):

    git restore -s cac7881 chapters/01_principles.md
    
  3. Check that this doesn't undo any of your intentional changes (e.g., by running git diff), and if everything looks good:

    git add chapters/01_principles.md
    git commit
    git push
    

Thanks, and let me know if anything I wrote doesn't make sense!

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I did that. and did the push. Do I need to do anything further?

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Everything looks good now!

If your research is more qualitative in nature than quantitive, the same basic
principles of organization apply. However the overall goal may be to show iterative
analysis, reflection, and ethical managment of sensitive materials rather than rigid
data pipeline processng. For instance, your directory structur might include:
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Typo: structur

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Fixed the typo and did another push.

@nick-ulle
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@Cephalopd this looks good in terms of the book and Git. I've added @elisehellwig as a reviewer to this PR since it looks like she's the content reviewer for this topic.

elisehellwig
elisehellwig previously approved these changes Oct 17, 2025
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Looks good to me!

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This looks good to me. I think you can merge this into main now Beth.

@elisehellwig elisehellwig merged commit 0ca4bda into ucdavisdatalab:main Nov 6, 2025
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4 participants