The Data Catalog and Metadata capability creates a shared understanding of the University’s data assets and makes it easier to identify available data, its sources, meaning, ownership, and applicable controls.
A Data Catalog provides an organized reference for information about data assets, while metadata provides the descriptive information needed to understand, interpret, manage, and use data correctly.
What is Metadata?
Metadata is commonly described as “data about data.” Examples include:
- Data element name
- Definition and description
- Data source
- Data owner or responsible unit
- Data type and format
- Classification level
- Data quality rules
- Update frequency
- Relationships with other data elements
Why Do We Need a Data Catalog?
A Data Catalog helps the University to:
- Discover available data.
- Standardize data definitions and terminology.
- Identify authoritative data sources.
- Clarify data responsibilities.
- Improve data quality.
- Support data sharing and integration.
- Reduce duplication.
- Improve analytics and data use.
A Trusted Reference for University Data
The Data Catalog supports the development of a reliable institutional reference through which users can identify the correct data, its source, meaning, and responsible owner before using it.