Community workflow
The CODECHECK community workflow described here is the steps that codecheckers follow when conducting independent CODECHECKs, i.e., without an active collaboration with a journal or conference. The community workflow uses free to use infrastructure, in particular the GitHub organisation codecheckers and Zenodo for depositing codecheck certificates. The community workflow is a concrete implementation of the abstract CODECHECK process and follows the CODECHECK principles, although it may fall short of Rule 3, because the CODECHECKs are not yet properly registered as peer reviews in open research information databases.
The community workflow documentation is split into three parts:
- CODECHECK community workflow for authors
- CODECHECK community workflow for codecheckers This perspective also has variants: a focused version, a more detailed version, and a version for in-person workshop with CHECK-NL
- CODECHECK community workflow for editors
Support
Every CODECHECK is unique, just as the associated research article. The codechecker can partly rely on the examples below and the full breadth of CODECHECKs for good practices and approaches for codechecking.
If you have any questions or concerns, or get stuck, please reach out to fellow codecheckers in the public CODECHECK discussion forum or contact the CODECHECK team (see footer) if you need to consult on sensitive information.
Examples
See the CODECHECK register for a full list of codechecks, including direct links to the reports and register issues with background information.
Neuroscience 🧠
Piccolo, 2020
Codechecker: @sje30
Report: http://doi.org/10.5281/zenodo.3674056
Journal: GigaScience, see also related blog post reporting on this first CODECHECK for the journal.
Hopfield, 1982
A landmark paper from neuroscience, reproduced by @sebwyh with edits by @nuest.
Codechecker: @nuest
Report: https://doi.org/10.5281/zenodo.3741797
Hancock, 1991
A classical neuroscience paper.
Codechecker: @sje30 and @nuest
Report: http://doi.org/10.5281/zenodo.3750741
GIScience/Geography/Geoinformatics 🌏🌎🌍
Brunsden & Comber, 2020
Paper on reproducibility in spatial data science.
Codechecker: @nuest
Report: https://doi.org/10.5281/zenodo.3873153
Archaeology ⛏️
Paper on spatial dependence in archaeological spaces.
Codechecker: @nuest
Report: https://doi.org/10.5281/zenodo.4279275