Governance: The people, policies and procedures that determine how data are managed, used, and protected.
Governance creates rules of the road for collaboration, fostering a culture of trust and shared responsibility.
The particulars of data governance policies and procedures vary widely based on the vision, mission, and guiding principles for data sharing established by the partners involved. A narrow goal of creating a research database to support indicators and reporting will suggest one governance approach, which will differ significantly from the approach needed to support real-time integrated data for credentialed users managing service delivery. When the purpose and use of data infrastructure changes, governance must also change. Iteration is an essential part of building consensus and adjusting to fit the needs and capacity of partners over time.
Governance is one of five components of quality for integrated data systems and the foundation for IDS success. For more on other components of quality, check out AISP’s Quality Framework for IDS.
Featured Resources
AISP offers a range of guidance, case studies, consulting supports, and peer exchange opportunities related to data governance. Check out the resources below to learn more.
Toolkit Case Studies: Participatory governance: long-form work in action
Journal Article: Four questions to guide decision-making for data sharing and integration
Presentation Slides: Cross-agency governance: process examples from the field
Blog post: “It all comes back to good governance: A walk through AISP’s 2024 convening
The first in AISP’s network survey series, this brief describes how 37 diverse network members are developing and institutionalizing cross-sector data governance.
Explore the brief here.
Call and Webinar Recordings
- Governance Brief Launch Webinar (5.16.25)
AISP Governance Support
