BIM data governance defines who can create, edit, approve, and validate project information. It covers parameter names, shared parameter files, classification, asset IDs, naming rules, export mappings, and approval authority.
Why This Matters
Data problems often begin as ownership problems. If every discipline creates its own parameters and naming rules, schedules, IFC exports, COBie sheets, and FM databases become inconsistent.
Practical Guidance
Parameter Ownership: Assign ownership for shared parameters, project parameters, family parameters, and export mappings. Changes should be approved before they enter production models.
Naming Rules: Define naming for levels, grids, systems, views, sheets, worksets, families, types, spaces, rooms, and assets. Rules should be simple enough for daily use.
Approval Workflow: Create a lightweight approval process for new parameters or changed naming conventions. Uncontrolled data changes can break downstream reporting.
Validation: Use schedules, scripts, or QA exports to check data governance compliance. Governance without validation becomes a document nobody follows.
Checklist
- Assign owners for parameters, naming rules, and export mappings
- Control changes to shared parameter files and classification rules
- Use an approval workflow for new data fields
- Validate naming and parameter compliance regularly
LUA BIM LABS Insight
BIM data governance is not bureaucracy. It is how a project keeps information useful after hundreds of people touch the model.
LUA BIM LABS — Products & Services
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