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man standing in front of extremely large computer displayData Governance Overview

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.

The University recently hired its first Associate Vice Provost for Data Governance and Chief Data Officer who will be charged with carrying 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 eight domains of University data:

  • Alumni and Advancement
  • Clinical
  • Faculty
  • Finance
  • Human Resources
  • Infrastructure
  • Research
  • Students

As work progresses, we'll be looking for input to help identify subdomains and ensure that data are classified in the appropriate areas.

Data Governance Resources

As we work toward reaching the goals of data governance, we 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.