Data Governance
Data governance is a collection of policies, resources and common business practices established to ensure that institutional information is made reliable and accurate; interpreted consistently across the university; reported appropriately and reliably to external agencies and constituents; protected from unauthorized access or use; and optimized to enable the strategic use of data.
Data Governance often includes concepts such as Data Stewardship, Data Quality, and others to help an enterprise gain better control over its data assets, including methods, technologies, and behaviors around the proper management of data. It also deals with security and privacy, integrity, usability, integration, compliance, availability, roles and responsibilities, and overall management of the internal and external data flows within an organization.
From Dataversity (http://www.dataversity.net/what-is-data-governance)
Scope
The general scope of this framework applies to data and information entered, stored, utilized and reported on from the university wide Enterprise Resource Planning system – Ellucian Banner. Banner is the University-wide system that integrates the Financial, Human Resource, Student Administration, and Institutional Advancement functions. Data in the Banner is shared, where appropriate across functional areas. Sharing common data among the functional areas reduces redundancy and improves data compatibility. It also increases the interdependencies between workgroups since data entered by those in one group will be used by other groups who will assume the data has been entered accurately and that the meaning of the data is consistent with agreed upon definitions.
Core Principles of Data Governance | |
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Compliance | Data governance adheres to and enables institutional compliance with applicable statutes, regulations, and policies; including but not limited to areas of security, privacy, and record retention. |
Accountability | Data governance defines responsibilities for cross-functional data-related decisions, processes, and controls. |
Standards | Data governance identifies and supports consistent standards for data elements, dictionaries, metadata, quality, and usages. |
Organizational Effectiveness | Data governance activities improve organizational effectiveness and efficiency of operational processes. |
Communication | Data governance promotes and ensures communication so that the data produced are fully understood and can be reproduced with the same results. |
Auditability | Data governance promotes means to document and verify data and metadata, track changes and justifications for changes. |