rougier/submissions — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2020-01-07
Submit a replication of a published computational study's results using your own code.
Publish a letter describing a reproducibility problem found in an existing computational paper.
Validate whether a published paper's academic code actually works in practice.
| rougier/submissions | 0verflowme/alarm-clock | 0verflowme/seclists | |
|---|---|---|---|
| Language | — | CSS | — |
| Last pushed | 2020-01-07 | 2022-10-03 | 2020-05-03 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | moderate | easy | easy |
| Complexity | 2/5 | 2/5 | 1/5 |
| Audience | researcher | vibe coder | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires preparing a PDF using their template plus YAML metadata before opening a submission issue.
ReScience C is a journal focused on reproducibility in computational science. This repository is where people submit their work to be published there. The journal accepts two types of submissions: replications (where someone reproduces an existing published study's results, often using their own code) and letters (short pieces discussing reproducibility problems or issues in computational research). Think of it like a peer-reviewed forum for saying "I tried to recreate this published result" or "I found a problem with how this computation was done." To submit, you need to gather a few things: a PDF of your article (following their template), metadata about your submission in YAML format (a simple structured text format), your code, and optionally your data. You also have the option to suggest specific editors or reviewers from their board. Once you have these ready, you create a new issue in this GitHub repository and follow the prompts. The real value here is for researchers and developers who care about whether science actually works. If you've spent time recreating someone else's computational work and want to publish that effort, or if you've discovered that a published paper has reproducibility issues, this is the venue for it. Academic journals traditionally only publish novel findings, so work that verifies or challenges existing results often goes unpublished, ReScience C changes that. It's useful for anyone from PhD students validating established methods to industry engineers checking whether academic code actually works in practice.
The submission repository for ReScience C, a journal where researchers publish reproductions of published computational studies and reports on reproducibility problems.
Dormant — no commits in 2+ years (last push 2020-01-07).
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Don't trust strangers blindly. Verify against the repo.