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Office of the Provost

Data Governance

Data Governance at Rochester

Every day, data at the University are valued, created, used, stored, archived, reported, or deleted. Data governance sets the standards and protocols for the definition, exchange, integrity, and security of this information at Rochester. Data governance also enables accurate analytics and reporting, which generate answers to key questions and inform decision-making by leadership, internal audiences, and external agencies.

Our vision is that institutional data are securely accessible, understood, and trusted and are used in a consistent, responsible, and meaningful manner in order to increase interoperability, ensure reliability, and inform decision making in our community.

The Chief Data Officer works with the Deputy CIO and the Data Governance Council to carry out the University’s data governance objectives:

  • Create a “common data culture” with cross-institutional understandings of the meanings and uses of key data elements.
  • Identify and engage key stakeholders in establishing data policies and practices.
  • Enable increased data interoperability by establishing standards for all data uses including common data definitions and data quality best practices.
  • Establish consistent criteria for appropriate access and security of data across the institution and support enforcement of relevant rules and policies.
  • Enhance data-driven decision-making through improved access to well-documented data elements allowing better local decision-making and planning.

In order to do this effectively, the CDO will be looking to gather information from data users, data stewards, data custodians, and a variety of others who work with, think about, or care about university data. If you have information to share about your data work, things that go well or things that don’t, please get in touch:

Data Governance Foundations

All data are not created equal: they have different purposes, uses, and origins. Therefore, governance may be different for different data. On which types of data will data governance work focus?

Data Domains

Data governance standards and protocols apply University-wide, including the following domains of University data:

  • Alumni and Advancement
  • Facilities and Space Services
  • Faculty
  • Finance
  • Human Resources
  • Master and Reference
  • Research Administration
  • Research Products and Outputs
  • Students

In addition to topical data domains, we have defined functional domains for data ins support of unctions that cross cut multiple spheres of university activities or knowledge. The functional domains are:

  • Analytics
  • Audit
  • Communications
  • Diversity
  • External Relations
  • Global Engagement
  • Information Security
  • Institutional Research and Academic Administration
  • Legal
  • Library and Collections
  • Technology

More information on domains and subdomains under the data governance program is available here.

Data Governance Resources

As we work toward reaching the goals of data governance, the Data Governance and Support Office will be creating artifacts and providing resources to help you better understand good data management practices and the role of data governance in those practices.

Current highlight(s):

UR Data Glossary: The glossary explains business terminology, data relationships, and definitions used across all divisions, business domains, and data systems at the University.

Data Presentation and Visualization Resources: A collection of style guides, templates, and suggested tips and tricks to make it easier to display data in a clear and consistent way.