Code Review: Identify Gaps in Data Management & Transformation #17
Description
Conduct a thorough code review of the repository to identify any gaps in:
- Data management practices (validation, metadata, lineage tracking)
- Existing transformation functions and scripts (coverage, reproducibility, edge cases)
- Data pipeline automation (delta updates, logging, error handling)
- Integration readiness for the upcoming strategic database
- Adherence to documented workflows in docs/ALIGNMENT_RESEARCH_INTEGRATION.md and docs/DATA_ZONES.md
- Opportunities to improve the testing checklist in data/raw/_templates/INTEGRATION_TEMPLATE.md
- Quality of commit messages, documentation, and logging practices
Reference examples:
- Data pipeline stages & transition rules (docs/DATA_ZONES.md)
- Transformation reproducibility principles (data/transformed/README.md)
Assign: AI safety/data engineering team. Label: enhancement, question.