Maximizing the Discovery of Data Sets in the Yale University Library Catalog

Authors

DOI:

https://doi.org/10.5860/lrts.66n1.4

Keywords:

Cataloging, Data sets

Abstract

In response to the desire to include data set holdings in the Yale University Library (YUL) catalog, the Dataset Cataloging Task Force was formed in spring 2019 to assess the existing cataloging practices and current integrated library system environment. This paper describes the process of developing cataloging guidelines in the absence of authoritative resources while implementing best practices for cataloging data sets with the goal of optimizing the discoverability and accessibility of data sets in the online library catalog. The authors recommend the establishment of a national group to discuss, establish, and document national guidelines for cataloging data sets so that these increasingly important resources are treated in a consistent manner in institutional, consortial, and global catalogs.

Author Biographies

Rowena Griem, Yale University Library

Rowena Griem (rowena.griem@yale.edu) is Catalog Librarian for E-Resources & Serials Management, Technical Services at Yale University Library.

Yukari Sugiyama

Yukari Sugiyama (yukari.sugiyama@yale.edu) is Librarian for Discovery & Metadata Assessment, Technical Services, Yale University Library.

Tachtorn Meier

Tachtorn Meier (tachtorn.meier@yale.edu) is Catalog Librarian for Monographic Latin Script Receipt and Cataloging, Technical Services, Yale University Library.

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Published

2022-03-11

Issue

Section

Notes on Operations