Skip to main content
Data-Centric Guiding Principles
- Data is a university asset
- Data supports the university mission and strategy
- 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.