ADB Data Lifecycle

Lifecycle Stages

1. Source capture
2. Consent / permission tagging
3. Raw preservation
4. Metadata enrichment
5. Validation and duplicate handling
6. Zone routing
7. Observation structuring
8. Review and evidence validation
9. Derived output generation
10. Analytics and longitudinal tracking
11. Dataset curation
12. Model / Future IP readiness

Lifecycle Rule

No data should enter downstream analytics, reporting, dataset, or future model workflows without source, context, consent/permission status, review state, and quality status.