Coordinating Expertise to Preserve and Increase Discoverability of Key University of Tennessee Agricultural Serials

Baxter, Isabella; Trott, Louisa; Hale, Meredith L.

doi:10.1080/10496505.2019.1685390

Cited by 1 publication

(2 citation statements)

References 9 publications

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“…34 Baxter, Trott, and Hale identified "distinguishing characteristics" during metadata creation of a historic agricultural serial and assigned subject terms for prominent topics to "encourage patrons outside of the field of agriculture to intentionally and serendipitously discover these materials." 35 This project contributes to current conversations on best practices for metadata creation and enhancement of digital objects. Adding terms based on keywords from the title to existing LCSH has been recommended.…”

Section: Figure 3b Word Clouds Of Unique Subject Terms Generated From Random Sample Of Thirty-five Issues Of the Florida Cattleman And LImentioning

confidence: 99%

“…Baxter, Trott, and Hale describe a team of subject specialist librarians working with cataloging and digital librarians to digitize and make accessible historic agricultural serials from the University of Tennessee. 39 Testing and training on the impacts of customized rules is important. Close consultation with an ontologist would be useful to develop rules appropriate for the controlled vocabulary of a local project.…”

Section: Figure 3b Word Clouds Of Unique Subject Terms Generated From Random Sample Of Thirty-five Issues Of the Florida Cattleman And LImentioning

confidence: 99%

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

Stapleton¹,

Dinsmore²,

Kleeck³

et al. 2021

CRL

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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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Section: Figure 3b Word Clouds Of Unique Subject Terms Generated From Random Sample Of Thirty-five Issues Of the Florida Cattleman And LImentioning

confidence: 99%

Section: Figure 3b Word Clouds Of Unique Subject Terms Generated From Random Sample Of Thirty-five Issues Of the Florida Cattleman And LImentioning

confidence: 99%

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

Stapleton¹,

Dinsmore²,

Kleeck³

et al. 2021

CRL

View full text Add to dashboard Cite

show abstract

Coordinating Expertise to Preserve and Increase Discoverability of Key University of Tennessee Agricultural Serials

Cited by 1 publication

References 9 publications

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

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

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