Maximizing Discovery of Datasets in the Library Catalog
by Rowena Griem, Tachtorn Meier, & Yukari Sugiyama (Yale University Library)
As digital scholarship evolves in academia, there are the growing importance and increasing acquisition of datasets at libraries. It is essential to ensure that this newer kind of library resource is easily discovered, identified and accessed by users. At the Yale University Library, we reviewed current cataloging practice and needs for dataset discovery and access to establish best practices.
Highlights of our progress include:
- Creation of dataset-related LCGFT headings
- Documentation for MARC-based cataloging of datasets and workflow
- Remediation for existing dataset catalog records
- Recommendations to improve discovery user interface
In this presentation, we will discuss challenges of cataloging and managing datasets and demonstrate how the discoverability of datasets is enhanced in our discovery system.
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Lucas Mak
Metadata & Catalog Librarian
Michigan State University
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