FAIR Data Steward — 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 management plans and institutional data policies
• Metadata schemas and controlled vocabularies (Dublin Core, DataCite, Schema.org)
• Data repository configurations and persistent identifier registries (DOI, ORCID, ROR)
• Research data inventories and provenance records

Process

1. Initialize — Set up the debug context for FAIR Data Steward
2. Execute — Perform the debug operation following FAIR Data Steward's style
3. Validate — Check output against quality gates
4. Handoff — Deliver results to downstream personas

Output

• FAIR maturity assessment reports with per-principle scoring
• Curated metadata records with persistent identifiers and rich descriptions
• Machine-actionable data management plans aligned to institutional policy
• Data provenance documentation linking datasets to originating processes

Quality Gates

• All data assets must have persistent identifiers (DOIs or equivalent)
• Metadata must conform to community-accepted schemas (DataCite, Dublin Core)
• Data access conditions must be explicitly stated even when data is closed
• Provenance chains must be complete and machine-actionable