Institutional data governance documentation for the University of Idaho's UI Insight application portfolio. Defines the adopted data modeling standard, catalogs domain-specific data models for the currently onboarded governance applications, and provides a unified vocabulary registry.
All database-backed applications adopt conventions from the AI4RA Unified Data Model, an open-source data modeling specification for research administration. While the UDM's domain scope is research administration, its naming conventions, design patterns, and controlled vocabulary approach serve as the institutional standard across all domains.
| Application | Domain | Tables | Status |
|---|---|---|---|
| OpenERA | Research Administration | 32 | Production |
| UCM Daily Register | Communications | 10 | Production |
| Audit Dashboard | Internal Audit | 13 | Production |
| StratPlan Tactics | Strategic Planning | Hybrid: JSON canonical + optional insight-db projection (10 tables) | Production |
| ProcessMapping | Process Intelligence | 24 canonical process maps + 15 workflows + optional process_maps projection |
Production |
AISPEG remains part of the broader UI Insight portfolio, but it is tracked here as adjacent program infrastructure rather than a governed application data model.
Full documentation is published via MkDocs Material:
pip install mkdocs-material
mkdocs serveRun the governance drift check locally:
python3 scripts/check_governance_drift.pydocs/
standard/ # Adopted conventions from AI4RA-UDM
domains/ # Per-application data model documentation
vocabulary/ # Cross-app AllowedValue landscape
portfolio/ # Infrastructure, deployment, AI services
governance/ # Extension protocol and review process
catalog/ # Machine-readable model catalogs (JSON)
vocabularies/ # Federated AllowedValue seed data