About Us


Data governance focuses on improving data quality and usability, enabling appropriate access to data, establishing consistent data definitions, complying with privacy, legal and regulatory data policies, and setting a strong foundation for analytics and reporting.

  • Coordinate access, data protection, and governance activities across IT systems and subject/data domains

  • Facilitate access to data and information through clear and coordinated request, requirement, and approval processes

  • Promote the creation and use of a data catalog to improve understanding, quality, and usability of data, information, and reports

  • Coordinate and support data literacy and education on the legal, responsible, and ethical use of data


  1. Reinforce the importance of data security and privacy and the importance of compliance with all applicable rules and regulations

  2. Make data and information more accessible to users across the Academic Division of the University

  3. Improve the institution’s ability to share data between units

  4. Improve self-service capabilities in support of distributed analytics activity

  5. Improve data confidence, discoverability, and usability with a focus on quality and documentation

  6. Improve data literacy and awareness on the responsible and ethical uses of data with training and education

  7. Ensure that individuals with Governance roles understand their responsibilities and are actively engaged in the process

  8. Balance the need for long-term longitudinal, archival analysis with legal and regulatory retention policies.

Guiding Principles

  1. We take the privacy and security of individual data seriously and every decision we make about increasing the use and accessibility of data is informed by our commitments to privacy and security.

  2. Data is a strategic asset of the University used to support its instructional, research, and public service missions.

  3. Data governance is a program and a business discipline, not a project, which needs an ongoing investment, support, and exposure.

  4. Data will be managed as a shared asset to maximize business value and reduce risk.

  5. Decisions about centralized and localized data/governance solutions will be carefully considered.

  6. Quality Standards for Data will be defined and monitored and should be managed in the system of record.

  7. Access and use of Data will be managed in accordance with appropriate policies.

  8. Data governance policies and decisions will be clearly communicated and transparent.

  9. Data Literacy is a core component of the data governance initiative.