Data Governance

What Is Data Governance?

Data governance is the exercise of authority and control over the management of data assets. It guides all other data management functions. Data governance focuses how decisions about data are made, what people are expected to do with data, and the goals that processes related to data management should accomplish.

Why Is Data Governance Important?

Data governance is the foundation of an effective data management program. While the scope and focus of the data governance program will depend on the unique needs of an organization most programs include the following components:
  • Strategy
  • Policy
  • Standards and Quality
  • Oversight
  • Compliance
  • Issue/Operational Management
  • Data Management Projects
  • Data Asset Valuation
(Source: Texas Data Management Framework: Fast Start Learning Guide, pages 11-13)

Data Governance Organizational Chart:
  • The data warehouse initiative is governed by an institutional data governance framework. UHCL consulted with Gartner and developed an institutional Data Governance organizational structure; implementation began in late Fall 2022.
Data Governance Policy:
  • Coming Soon.
Texas Data Literacy Program:
  • The Office of the Chief Data Officer, within the Texas Department of Information Resources, is pleased to provide the Texas Data Literacy Program educational series. Link to the subpage to the Texas Data Literacy Program, see attachment.
Clarity Knowledge Base (KB)
  • The Clarity KB is a self-serve online library of information about our products and related/informational topics.
  • System: TeamDynamix
Glossary of Terms (login required)
  • Business concepts
  • System: Open MetaData (in QA)
Data Dictionary (login required)
  • Physical data assets
  • List of tables, fields, field values, and their definitions
  • System: Open MetaData (in QA)