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 in:Technical services quarterly Vol. 41; no. 2; pp. 138 - 147
Main Author: Fidelman, Emily
Format: Journal Article
Language:English
Published: Philadelphia Routledge 02.04.2024
Taylor & Francis Ltd
Subjects:
Cataloging
Data
Data search
Identity
Libraries
linked data
Machine-readable cataloging (MARC)
Metadata
ontologies
Ontology
Privacy
protected identities
Query languages
Reductionism
Self concept
Sexuality
Structured Query Language (SQL)
Subject headings
Taxonomy
ISSN:0731-7131, 1555-3337
Online Access:Get full text
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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