CODECHECK
CODECHECK verifies the executability of computational workflows underlying scientific publications to improve reproducibility and transparency during peer review.
Key Features:
- Independent execution: Performs independent execution of computations underpinning scientific publications during peer review.
- Open infrastructure: Leverages open infrastructure and tools to run and assess computational workflows.
- Integration into review processes: Integrates verification steps into review and publication processes across the dimensions of importance, stakeholder involvement, openness, and timing.
- Structured verification: Provides a structured approach to verifying the executability of computational workflows associated with scientific articles.
- Publisher collaboration: Collaborates with academic publishers and conferences to implement executability checks within publication contexts.
- Empirical demonstration: Demonstrated reproducibility through 25 reproductions of diverse scientific publications.
- Non-textual artifact assessment: Assesses accessibility and executability of non-textual research artifacts to enhance transparency.
Scientific Applications:
- Peer-review verification: Enable independent execution of computations during peer review to verify reported results.
- Publication quality control: Support journals and conferences in incorporating executability checks into publication workflows.
- Reproducibility assessment: Provide evidence for reproducibility standards and track reproducibility across computational research.
- Non-textual artifact evaluation: Evaluate the accessibility and executability of computational workflows associated with manuscripts.
Methodology:
Executes computational workflows using open infrastructure and tools to verify their executability, as demonstrated by 25 reproductions of scientific publications.
Topics
Details
- License:
- CC-BY-SA-4.0
- Tool Type:
- workflow
- Added:
- 6/14/2021
- Last Updated:
- 8/23/2021
Operations
Publications
Nüst D, Eglen SJ. CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility. F1000Research. 2021;10:253. doi:10.12688/f1000research.51738.1.
Funding: - German Research Foundation: PE1632/17-1
Links
Repository
https://github.com/codecheckers