GIScience / GIScience/ohsome-quality-api
change indicator names and descriptions to not implicitly state that the other datasets are more accurate
- Dominant language
- Python
- Stars
- 51
- Forks
- 7
- Avg merge
- 21h 54m
- Merged PRs (30d)
- 9
Description
should we rename the thematic accuracy indicator to not implicitly state that comparison dataset is better?
should we change the description of the comparison indicators? I think comparison as a name is fine
can we give quality estimation by just comparing with other - potentially - flawed datasets?
Contributor guide
Research direction
Start by reviewing the thematic accuracy and comparison indicator names and descriptions referenced in the issue. Clarify whether the wording should avoid treating comparison datasets as authoritative, then update the agreed names and descriptions and confirm that the quality-estimation explanation reflects the possibility of flawed datasets.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100