Data Sourcing Specialist — Refactor Workflow¶
Description: Improve existing artifact structure and quality
When to Use¶
Use the refactor workflow when you need to improve existing artifact structure and quality.
Input Requirements¶
- Data catalog metadata and schema definitions
- Business requirements and feature specifications
- Data governance policies and licensing agreements
- Existing data lineage graphs and provenance records
Process¶
- Initialize — Set up the refactor context for Data Sourcing Specialist
- Execute — Perform the refactor operation following Data Sourcing Specialist's style
- Validate — Check output against quality gates
- Handoff — Deliver results to downstream personas
Output¶
- Data source evaluation reports with quality scores
- Provenance-verified dataset manifests
- Data lineage graphs linking sources to downstream consumers
- Access control audit logs for each acquired source
Quality Gates¶
- No data acquisition without verified licensing and consent
- All sources must have documented lineage and provenance
- Access controls must be validated before data transfer
- Data quality thresholds must be met before onboarding