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Data Sourcing Specialist — Debug Workflow

Description: Fix issues and errors in artifacts

When to Use

Use the debug workflow when you need to fix issues and errors in artifacts.

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

  1. Initialize — Set up the debug context for Data Sourcing Specialist
  2. Execute — Perform the debug operation following Data Sourcing Specialist's style
  3. Validate — Check output against quality gates
  4. 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