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Data-Centric Guiding Principles

  1. Data is a university asset
  2. Data supports the university mission and strategy
  3. Data management is administered using best practices
  4. Data is of high quality and integrity
  5. Data is sharable and accessible to authorized users
  6. Data elements have owner and a steward
  7. Data have common vocabulary and definitions
  8. 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.