chaoss / chaoss/wg-data-science
Publication Guidelines: Describe Data Sharing and Provenance
- Dominant language
- Jupyter Notebook
- Stars
- 30
- Forks
- 26
- Avg merge
- 14h 38m
- Merged PRs (30d)
- 2
Description
I think the publication guidelines doc we just merged is fantastic! What I would like to see discussed/resolved in a future meeting are some guidelines around sharing of data, explaining the provenance of data used in reports, with particular attention to the steps from raw data through analysis. Where did we get the data? How? Was it verified/validated? How could another party explore the data.
Not sure if this is strictly necessary in every case, though I think credibility is greater to the extent these things are explained.
Contributor guide
Research direction
Start by reviewing the recently merged publication guidelines document and the questions listed in this issue. Use a future working-group meeting to define whether data-sharing guidance is required and agree on coverage for data source, acquisition, validation, raw-to-analysis provenance, and how others can explore the data. Done means the agreed guidance is incorporated into the publication guidelines.
Written by the indexing model from the issue text.
Assessment
- Domain
- data, documentation
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100