Data Governance is a collection of practices and processes which help to ensure the formal management of data assets within an organization. In the university context, effective data governance will:
- Ensure establishment, maintenance, and delivery of secure, confidential, ethical, trustworthy, stable, reliable, and accessible collections of institutional data for shared access by the university community
- Maximize the value received from the data asset by increasing the understanding and use of the data
- Provide an integrated view of the functions of the university
- Improve direct access to data by end-users in accordance with institutional policies, ethical and privacy norms, and state and federal privacy and security laws and regulations
- Support the university's strategy to incorporate information technology as an integral part of decision-making, competitive positioning, and delivery of services
- Establish decision rights with respect to university data that ensure accountability.
A successful data governance program helps to support the university’s primary missions of teaching and learning, research, clinical care, and public service.
U-M Data Governance Revitalization
Data Governance is being updated at U-M! In 1994, when the existing framework was put in place it was the gold standard... and it still works pretty well. However, due to a confluence of circumstances, the overarching data governance program hasn’t had a substantial review and update since its inception, and a lot has changed since then. For more information, check out the Data Governance Revitalization page.
Data stewards are responsible for supporting the creation, curation, and protecting the confidentiality, integrity, and availability of university data. U-M policies, federal and state laws and regulations require that some types of data be handled differently than other types.
- Data Stewardship
Roles, responsibilities, and policies affecting data stewardship
- Data Stewards & Managers
Find out who to contact about data access and classification for nine institutional data areas
- Data Management & Classification
Responsibilities and policies for handling and classifying sensitive data at U-M