Comments (1)
I second that a pre-merge review process would be a better strategy. This allows all discussion about the data and its quality to be tied to a PR.
The PR can also be used as a reference point for issues made, which may be a possibility for further discussion about the data quality after it has been merged.
from covid.
Related Issues (20)
- Models page target's identification does not work HOT 1
- Simulation data descriptions do not render Markdown properly HOT 2
- Allow view of data generated by a given organization HOT 4
- Update targets for Folding@home dataset?
- Another dataset to link to: Stanford University Coronavirus Antiviral Research Database
- Connect to competitor database www.scov2-md.org
- Add DOI for RIKEN trajectories HOT 2
- Request for data addition/refinement for variants
- Determine Quality/Usefulness Metrics
- Distinguish between unsolvated and solvated models HOT 2
- Collaborating -> Contributing? HOT 5
- Have validation.py dynamically retrieve valid values from directory
- Remove stoplights from structural data HOT 7
- Suggestions to ingest data automatically HOT 2
- "New data entries" and "Tracking issue" issue tracker buttons don't open an issue HOT 1
- Add I-TASSER models HOT 4
- Add Swissmodel SARS-CoV-2 models HOT 15
- How do data analysis offers get handled? HOT 19
- Improving internal and external links
- Feig lab updated models HOT 1
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