Office of the Provost
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.
- 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: email@example.com
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 governance standards and protocols apply University-wide, including the following domains of University data:
- Alumni and Advancement
- Clinical Research
- Faculty Information
- Human Resources
- Master and Reference
- Research Administration
- Research Products and Outputs
In addition, Clinical Research data and Faculty Research data are the currently defined research domains for which a separate support and oversight framework is being developed.
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.
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.