Discovery without Disclosure: Using Subject Metadata to Surface Implicit Content While Respecting Protected Identities

Search for library resources may increasingly leverage linked data ontologies, in contrast to machine-readable cataloging (MARC) fields. Concerns about privacy and reductionism have emerged regarding protected identities like sexuality in linked data ontologies such as Wikidata. This study provides...

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Bibliographic Details
Published inTechnical services quarterly Vol. 41; no. 2; pp. 138 - 147
Main Author Fidelman, Emily
Format Journal Article
LanguageEnglish
Published Philadelphia Routledge 02.04.2024
Taylor & Francis Ltd
Subjects
Data search
Libraries
linked data
Machine-readable cataloging (MARC)
Metadata
ontologies
Privacy
protected identities
Query languages
sexuality
Structured Query Language (SQL)
Taxonomy
Online AccessGet full text
ISSN0731-7131
1555-3337
DOI10.1080/07317131.2024.2319970

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Summary:Search for library resources may increasingly leverage linked data ontologies, in contrast to machine-readable cataloging (MARC) fields. Concerns about privacy and reductionism have emerged regarding protected identities like sexuality in linked data ontologies such as Wikidata. This study provides a Structured Query Language (SQL) methodology for search related to protected identities in MARC subject metadata; it distinguishes between linked data ontologies for search and taxonomies such as Library of Congress Subject Headings (LCSH) embedded in MARC fields. Metadata may remain preferable to linked data entities to surface implicit content while respecting the privacy and varied experience of persons with protected identities.
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ISSN:0731-7131
1555-3337
DOI:10.1080/07317131.2024.2319970