Data Catalog Implementation

The data catalog implementation project supports the Data Consumption pillar of the overall data strategy by enabling those in our community to locate the data necessary for analysis and for informing decisions.  

Key Contacts: Laura Gast, CK Bhatia

What strategic pillars does it support? 

  • Teaching 
  • Research 
  • Administrative Excellence
  • Culture and Community

Why is it important? 

The catalog implementation is an important component in supporting the application of data to manage operations and inform decision-making. The catalog will contain metadata, or contextual information about data, for data sets, reports, dashboards, acronyms and glossary terms so that users can find needed data and reports, appropriately request access, and better understand data through definitions and usage recommendations. Increasing transparency and trust in data benefits the university by clarifying recommended sources of metrics and supporting data thereby reducing the effort spent when metric values differ.  A data catalog reduces risk by supporting the appropriate application of data to a given use case and reduces the time spent searching for needed data. The catalog has the potential to benefit a significant portion of the university community. 

Who will benefit? 

Analysts will be the main audience to benefit from the catalog, but the contents will be available to the entire university community. Anyone needing to lookup a definition of a term or an acronym from the institutional glossary will benefit from the catalog tool. 

What is the timeline? 

  • The implementation work will start in August 2023 
  • Technical implementation work for initial data repositories should be complete by the end of September 2023 
  • Adoption will be cultivated over time, as long as the catalog is licensed. 
  • New contents will be added to the catalog as new reports and data sets are created and new areas onboarded. 

Who are our partners and sponsors? 

Key partners in the data catalog implementation are the major data areas of the university including, but not limited to: Wexner Medical Center, University Advancement, Business and Finance, Human Resources, University Registrar, Admissions, Institutional Research and Planning, Facilities Operations and Development, Office of Marketing and Communications and the Enterprise for Research, Innovation and Knowledge. 

How will success be measured? 

  • # of data sources connected 
  • # of data assets defined (terms, glossaries, acronyms, process & metric definitions, report catalog 
  • Usage - # of users, # of views/searches
Learning, Research, Innovation and Belonging icons highlighted within IT Pillars Supported graphic