Data management is administered using best practices
Data is of high quality and integrity
Data is sharable and accessible to authorized users
Data elements have owner and a steward
Data have common vocabulary and definitions
Data is safeguarded at all times
University Data Governance principles covers the following activities:
Proactively identifying and prioritizing project opportunities to improve operational effectiveness and minimize data risks
Monitoring and tracking data quality through the metrics and key performance indicators
Auditing and reviewing adherence to data governance policies and standards
Identifying, selecting, cataloging, and organizing university data in a format that allows the knowledge to be shared enterprise-wide as an asset (e.g. Business Glossary, Data Catalog, Integration Methods)
Maintenance and quality control of Business Glossary terms, providing the university with a common language and understanding
Maintenance of a Data Dictionary/Catalog, providing the university with a searchable repository of data university-wide that identifies authoritative datasets
Incorporating requirements for data security, privacy, risk, ethics, and compliance, including usage of data by classification levels, and record retention and disposal
The UCF Data Governance program objectives include:
Establishing and maintaining:
a cross-functional approach to data management decision-making.
a common set of Data Governance policies, practices, and processes to define and maintain common data definitions, master data, metadata, business rules, and data integrity through the data lifecycle.
a common and standardized data definition framework (Business Glossary and Data Dictionary / Catalog).
a standard and reusable set of project deliverables that are utilized to ensure a structured approach and that deliver quality results for solution delivery.
Championing the development and implementation of data management solutions required to meet the information needs across the university.
Driving towards simplification of university activities and metadata management processes.
Carrying out the data management direction provided by UCF leadership.
