Governance & Access Model
Establishing institutional control, standards, and interoperability for spatial data across academic and administrative systems
Context
Before these changes, GIS access at the university was informal and inconsistent. Most of the university was effectively locked out. Requests for access often required manual follow-up, and many users gave up trying. Spatial data, where it existed, was fragmented across personal systems, with no shared standards, ownership structure, or governance model.
On the administrative side, there was no real governance because there was no reliable institutional data to govern. As the university began moving toward more integrated use of CAD, GIS, and asset management systems, it became clear that a sustainable framework was needed.
Intervention
I established a governance model to make spatial data usable at scale. After opening access across the university, I began creating policies aligned with IT standards so the system could support long-term institutional use.
That work included defining data ownership, publishing permissions, naming standards, and data classification practices. I also formed a GIS Steering Committee made up of executives and senior directors from Police, Facilities Services, and Planning, Design, and Construction. The committee helps align priorities, resolve conflict, and guide institutional decisions around spatial data.
System Design
Ownership
Departments now have clearer responsibility for what data they create, maintain, and share.
Access Control
Access and publishing are centrally managed to support consistency, security, and appropriate visibility.
Standards
Naming conventions, classification rules, and data expectations now support shared use across the institution.
Coordination
The Steering Committee provides a decision structure for aligning priorities across units operating in the same physical environment.
Outcomes
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A central repository now replaces fragmented, local datasets. Data is vetted and categorized as authoritative, trusted, or still in progress. The system is more consistent, more scalable, and far easier to understand than the ad hoc environment that existed before.
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It also created a more reliable path for interoperability between GIS, CAD, and asset management systems. Instead of isolated versions of the truth, the university now has a framework for shared spatial data that can support operational needs across departments.
Impact
Governance turned spatial data from an informal, unstable practice into a coordinated institutional resource. It clarified responsibility, improved trust in the data, and created the conditions for cross-department collaboration.
Just as importantly, it made growth sustainable. Increased access no longer creates chaos. It creates structure.
Related systems
University Spatial Data Infrastructure
Geospatial Community of Practice