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As part of the Technology Intake Process and approved by the ITS Architecture Review Board the following standard outlines the scope, definitions, details and exceptions for practices that align with our enterprise architecture, operational infrastructure, and strategic goals. By adhering to this standard, we can reduce technical debt, streamline integrations, and accelerate innovation while maintaining a high level of quality and governance.
Section 1: Overview
What data governance model the University of St. Thomas follows based on current employee structure, data architecture, and operational needs.
Section 2: Scope
These standards apply to any existing and new data governance needs, roles, and responsibilities.
Section 3: Definitions
Section 4: Standards
All employees (students, staff, temp, contractor, or faculty)of the university will follow the Hybrid Data Governance Model with the defined roles and responsibilities, in support of our enterprise data strategy. Business Units will follow broad standards put in place by the central data governance team while maintaining autonomy over the data they are responsible for.
Section 5: Exceptions to Standard
The following exceptions apply to this standard:
- A completely isolated data producing tool or platform.
- Temporary fix solutions that are necessary to address an immediate issue where business has stopped.
Section 6: Policies & Principles
Below are the policies that the standards listed above directly support, and the principles that support the standards listed above (if applicable).
- Data Management Policy
- Data Classification Policy
- Data Retention Policy
- Responsible Use Policy
- If this product or platform must meet security and data standards per our policies and compliance needs. Data Security Policy Compendium
- ITS Principles
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