These programs facilitate accurate understanding and correct use of University Data through several mechanisms, including data definitions, data standards, data quality, and data integrity assurance. USC will be keeping with its policy UNIV 1.51, Data and Information Governance.
- Data definitions - ensure that the meaning of data is clear and not subject to interpretation or opinion
- Data standards - establish what values are expected and permissible within data elements
- Data quality rules and related activities ensure that University Data is:
- accurate – free of errors
- complete – data is present, not missing or only partial)
- consistent – complies with data definitions and standards
- current – up to date
- timely – data are present by the time they are needed
- Data integrity assurance - activities ensures that actual data values conform to definitions, standards, and quality rules, that errors and variance are remediated, and that controls are put in place to prevent future recurrence of issues
Data Standards User Guides
Data Innovations Lead
Ezra Brooks serves as the Data Innovations Lead for the Division of Information Technology at the University of South Carolina. He facilitates creation and maintenance of data standards, including data definitions, data dictionaries, and data classification procedures, for enterprise information systems serving specific mission critical lines of business. In this role he uses forward looking methods and technologies to improve business intelligence and drive decision making throughout the university by managing data lake resources under the cloud-based analytic as well as facilitating data quality & integrity monitoring and remediation practices. His prior experience includes business analytics, software development, and data management most recently at Michigan State University as well as the University of Michigan.
Contact Ezra Brooks at firstname.lastname@example.org