Computer-assisted Indexing Complements Manual Selection of Subject Terms for Metadata in Specialized Collections

Discovery of digital items by scholars and the public is highly dependent upon effective metadata to ensure inclusion and prioritization in search engines. Subject descriptions based on controlled vocabulary, such as Library of Congress subject headings (LCSH), are particularly useful to enhance dis...

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Bibliographic Details
Published inCollege & research libraries Vol. 82; no. 6; pp. 792 - 807
Main Authors Stapleton, Suzanne, Dinsmore, Chelsea, Van Kleeck, David, Ma, Xiaoli
Format Journal Article
LanguageEnglish
Published Chicago Association of College and Research Libraries 01.09.2021
American Library Association
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Summary:Discovery of digital items by scholars and the public is highly dependent upon effective metadata to ensure inclusion and prioritization in search engines. Subject descriptions based on controlled vocabulary, such as Library of Congress subject headings (LCSH), are particularly useful to enhance discovery, but they may be expensive to provide. In this case study we compared the results of computer-assisted indexing with manual selection of subject terms as part of an effort to enhance findability of journal information at the issue level. Our results suggest that incorporating both computer and human processes provide the highest impact for discovery of distinctive digital collections.
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ISSN:0010-0870
2150-6701
DOI:10.5860/crl.82.6.792