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Update/wg cr chairs event resources
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---
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title: Code Review Demo - Reproducibility Audit
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excerpt_separator: <!--more-->
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expires: 2025-03-27
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event_date: "March 27, 2025"
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layout: event
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duration: 60
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repeated: false
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category: community-learning
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time:
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- - start: 2025-03-27T19:00:00Z
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end: 2025-03-27T20:00:00Z
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---
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Join us for the first demo of the US-RSE's Code Review Working Group's "Code
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Review Demo Series".
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Our first demo will be on "Reproducibility Audits" presented by Eric Scott.
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Please register for the event at
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<https://arizona.zoom.us/meeting/register/TBDaXBUVT-evkLNR83bReg#/registration>
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<!--more-->
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#### Title
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Code Review Demo: Reproducibility Audits
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#### Description
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This is the first in a series of code review demos hosted by the US-RSE code
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review working group.
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In this demo, we will discuss reproducibility audits, a broad (and shallow)
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type of code review focused on the following questions: Can I figure out how to
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get the code to run?
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Does the code produce the expected outputs?
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How readable and re-usable is the code?
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This type of code review can be useful before submitting a manuscript with
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associated analysis code, or in the context of a “ReproHack”.

pages/wg/code-review.md

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[`#wg-code-review`](https://usrse.slack.com/messages/wg-code-review) channel
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on the US-RSE slack.
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**Co-Chairs**: Jeffrey Carver, Troy Comi
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**Co-Chairs**: Jeffrey Carver, Alex Koufos, Abbey Roelofs
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# Work Products
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<hr class="my-5">
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## Code Review Resources
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# Code Review Resources
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### Code Review Tutorials and Good Practices
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<hr class="w-50">
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- [code-review.org](https://code-review.org/)
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## Code Review Tutorials and Good Practices
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- [code-review.org (tutorial)](https://code-review.org/)
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- [Tidyteam code review principles](https://code-review.tidyverse.org/)
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- [Code review training module](https://intersect-training.org/Code-Review/)
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- ["How to do Code Reviews Like a Human"](https://www.youtube.com/watch?v=0t4_MfHgb_A) (lecture recording)
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- ["Contemporary Peer Code Review Practices in Research Software"](https://carver.cs.ua.edu/Slides/2019/CodeReviewTutorial/TutorialSlides.pdf) (slides)
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- ["Code Review Views" (slides)](https://drive.google.com/file/d/1qszIciQ2RWVYK1fzxk1XI7QkOJcHsWuB/view)
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- [Stanford Health Policy Data Science - "Code Review"](https://stanfordhpds.github.io/lab_manual/chapters/08-code-review.html)
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- [rOpenSci - "Guide for Reviewers"](https://devguide.ropensci.org/softwarereview_reviewer.html)
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- [Code for Thought - "Planning your research software - a workshop in Paris" (podcast)](https://play.pocketcasts.com/podcasts/7eedc800-37ef-0139-3323-0acc26574db2/d2238833-2777-4693-a958-dbddabac0c7e?t=1973)
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- [Lab Handbooks (collection)](https://github.com/cct-datascience/open-lab-handbooks?tab=readme-ov-file)
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- [Ecological Forecasting Initiative (collection)](https://ecoforecast.org/resources-for-reviewing-code/)
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### Automated Code Review Tools
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## Automated Code Review Tools
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- [Repo-Review](https://learn.scientific-python.org/development/guides/repo-review/)
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- [Codefair](https://github.com/fairdataihub/codefair-app)
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### Code Review Anxiety
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## Code Review Anxiety
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- [Understanding and Effectively Mitigating Code Review Anxiety](https://osf.io/preprints/psyarxiv/8k5a4)
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- [The Code Review Anxiety Workbook](https://developer-success-lab.gitbook.io/code-review-anxiety-workbook-1)
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## Volunteer Opportunities
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<hr class="my-5">
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# Volunteer Opportunities
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- [rOpenSci](https://ropensci.org/software-review)
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- [pyOpenSci](https://www.pyopensci.org/)

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