Execution Context
The Data Asset Catalog function serves as the central registry for digital resources within the AI factory marketplace. It empowers Data Stewards to define, register, and govern data assets with standardized metadata. By anchoring strictly to asset tracking protocols, this function ensures high visibility and accessibility for downstream AI models and agents. The system supports lifecycle management from ingestion to archival, facilitating secure discovery across organizational boundaries while maintaining strict compliance standards.
Data Stewards initiate the cataloging process by submitting asset metadata including schema definitions, lineage information, and usage permissions.
The system validates entries against enterprise governance policies and standardizes formatting before indexing into the central digital asset repository.
Once indexed, assets become discoverable through the marketplace interface, allowing authorized users to query, filter, and request access.
Operating Checklist
Submit structured metadata including schema, lineage, and access controls via the asset portal.
System validates data against enterprise governance policies and standardization rules.
Asset undergoes automated indexing and tagging within the digital asset registry.
Catalog entry becomes visible in the marketplace for authorized user discovery.
Integration Surfaces
Asset Submission Portal
Secure interface for Data Stewards to input detailed asset metadata and compliance declarations.
Governance Validation Engine
Automated system verifying metadata integrity and policy adherence prior to public indexing.
Marketplace Discovery Dashboard
Centralized view where cataloged assets appear for search, filtering, and stakeholder engagement.
