hackforla / hackforla/lucky-parking
Establish top-level repository licensing and attribution
- Dominant language
- Jupyter Notebook
- Stars
- 37
- Forks
- 60
- Avg merge
- 13h 32m
- Merged PRs (30d)
- 5
Description
### Description
Confirm and publish the approved licensing and attribution terms for the public repository so contributors and downstream users have unambiguous reuse and contribution guidance.
### Action Items
- [ ] Confirm the approved Hack for LA organization license and any legal, fiscal-sponsorship, or organizational requirements before selecting repository terms.
- [ ] Audit the repository for existing licenses, notices, third-party code/assets, generated artifacts, and license references, including `data-science/LICENSE`.
- [ ] Decide whether the data-science license should match the repository-wide license or remain distinct; document the rationale.
- [ ] Add the approved top-level `LICENSE` file and any required `NOTICE`, attribution, or third-party-license documentation.
- [ ] Update repository documentation and package metadata where appropriate to reference the canonical license.
- [ ] Verify that the license is detected correctly by GitHub and that references do not conflict.
- [ ] Have an authorized project/organization maintainer review the final terms before merge.
### Additional Information
Priority: low. This is governance/documentation work and should not delay active compliance, testing, security-scanning, or contributor-documentation work.
Do not copy a license from another project or make legal assumptions without confirming the organization-approved terms.
Contributor guide
Research direction
Start by confirming the Hack for LA organization-approved terms with an authorized maintainer, then audit the repository for existing licenses, notices, third-party assets, generated artifacts, and references, including data-science/LICENSE. Document whether that license remains distinct, add the approved top-level LICENSE and any required notices, update relevant documentation and metadata, and verify GitHub detection and consistency.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100