NASA-IMPACT / NASA-IMPACT/veda-github-actions
[Geospatial]-[Objective 40]: Data QA automation
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Nobody has claimed this yet.
Objective
poc-loe
- Dominant language
- TypeScript
- Stars
- 0
- Forks
- 0
- Avg merge
- 16m
- Merged PRs (30d)
- 8
Description
Context
Motivation
Deliver Data QA automation to support the Disasters program during this PI.
Description
Scope, milestones, and dependencies for data qa automation.
Examples & Concept Diagrams (If applicable)
Success Criteria
- Design reviewed and approved
- Implementation merged and deployed
Risks
- Dependency slippage; mitigate with early integration checkpoints.
LOE/FTE
| Person | Role | FTE | Notes |
|---|---|---|---|
| Priya Patel | Data Curator | 0.42 | — |
| Priya Patel | PM | 0.42 | — |
Contributor guide
No contributing guide indexed for this repository
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
The issue does not name files, tests, or entry points. Start by reviewing the scope, milestones, and dependencies for Data QA automation and the related project-board details. Done means the design is reviewed and approved, then the implementation is merged and deployed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- github-actions, typescript
- Domain
- data-engineering, testing-qa
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100