CoRR: A Review of a Web Platform for Reproducible Computational Records

A 2018 review manuscript by Andrew P. Davison evaluates the CoRR platform for reproducible computational research. The review discusses the platform's architecture and its aim to provide a common web interface for provenance capture tools like Sumatra, CDE, and Reprozip. It recommends the manuscript for acceptance after minor revisions.

Use Cases

• Evaluating web-based platforms for computational provenance based on the review's criteria.
• Comparing features of provenance capture tools like Sumatra, CDE, and Reprozip as discussed in the review.
• Understanding design requirements for collaborative, easy-to-deploy research platforms as outlined in the manuscript.

Strengths

• The review provides a structured evaluation of a specific research platform, CoRR.
• It references and compares several established provenance tools, grounding the discussion in existing work.

Limitations

• The dataset is a review article, not a primary data collection; its utility is for meta-analysis.
• Row count, column names, and sample data are unknown, limiting assessment of data structure.
• Last update date is unknown; freshness unverified.

Provenance

Source

paperswithcode

Collection Method

Likely a submitted manuscript review.

Time Range

2018