Retrieve aggregate demographic information for studies
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 12
- Forks
- 21
- Avg merge
- 5d 19h
- Merged PRs (30d)
- 5
Description
TL;DR
Make it possible for researchers to request a download of overall data rather than response-specific data, especially for fields that raise reidentification risk. E.g. "There were 12 M, 11 F, 1 undisclosed gender" when response-specific gender isn't needed for analysis
Narrative
As a researcher, I want to report summary statistics about my sample but don't need specific data, and I want to lower reidentification risk
Feature Request fields
**With this `details` wrapper, you can just use this ticket to record your findings. When you're ready to turn this into an implementation request, delete the scoping label and this wrapper, leaving only the filled out information.**
Acceptance Criteria
A precise description of how/when this issue will be considered closed, e.g.:
- Tests for new feature
- QA on new feature
- Sign off from Kim
Implementation Notes
Leave important notes/suggestions here for implementation (important files, suggested approaches, etc.)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are identified. First clarify which study data can be aggregated, how researchers request the download, and the acceptance criteria for privacy and output; then locate the relevant API and study-data paths. Done should include agreed tests, QA, and Kim's sign-off.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api, backend, data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100