In this Center of Excellence, leaders will find coverage of the processes involved in establishing an enterprise data governance capability. It includes basic concepts and tutorials to educate peers and stakeholders who may be unfamiliar with the process, as well as advanced practices proven effective among diverse higher education institutions, and the toolkits, exercises, and templates to replicate those practices on your campus.
This resource is part of the Establish Sustainable Data Governance Roadmap. Access the Roadmap for stepwise guidance with additional tools and research.
A guide to establishing effective data governance
ORGANIZE
Stand up institutional data governance oversight
Prepare
Assess current data governance practices to determine capability maturity level, readiness for change, and areas for focus.
Build a data-positive institutional culture to create appetite and enthusiasm for building data governance capability.
Create a shared vision for data governance capability to promote a common desire and framework for design and operationalizing processes.
Design
Structure and staff data governance committees, ensuring right level of participation and separation of strategy and implementation.
Establish data governance ownership and continuity plans to ensure longevity for the initiative, and robustness of accountability.
Set implementation policies and decisioning standards as a framework for operationalizing institutional governance.
OPERATIONALIZE
Implement institutional data governance initiatives
Define
Determine areas of focus for data definition process to streamline implementation phases around strategic imperatives and data areas.
Create enterprise definitions of commonly used data by following a universal template and metadata standard.
Compile data definitions in user-friendly format to ensure ease of access and interpretation among data consumers on campus.
Deliver
Implement centralized data access controls to provide automated, role-based provisioning for enterprise data hub.
Embed data quality assurance mechanisms to promote continuous improvement of institutional data quality.
Promote active data consumption among end users to build a community of users whose needs can inform data definition focus.
