Data Curation Tool

The tool provides a health-focused data curation workflow that helps data custodians describe datasets in a consistent, machine-readable way. It guides alignment of metadata with DCAT-AP and schema.org, and outputs catalog-ready records that can be ingested by governance portals or repositories. By emphasizing health data context, it supports interoperability across researchers, hospitals, and biobanks while preserving provenance and licensing details.
Conceptually, the system validates required fields, normalizes identifiers and versions, captures data provenance, and computes a lightweight FAIR score to indicate Findability, Accessibility, Interoperability, and Reusability. It accepts both human-entered metadata and structured inputs for schema definitions, enabling automated quality checks without modifying the underlying data.
Beneficiaries include researchers, clinical data managers, data stewards in consortia, and library staff who need transparent metadata, audit trails, and easy discovery. The tool's unique value lies in health-data-specific standards support, gap analysis, and straightforward export formats that integrate with existing catalogs and governance workflows.
Core features include metadata schema validation, identifier normalization, provenance capture, license and access validation, and export to JSON-LD or CSV. Advanced configurations offer ontology alignment, PHI/PII risk indicators, and versioned lineage. Use cases span data releases, shared research datasets, and governance reviews.