Describing Oral History Interviews: A Comparative Study of Cataloging Schemas and Metadata Practices

This paper examines the descriptive challenges of Oral History interviews, by comparing records from the Library of Congress and the British Library, the American Archive of Public Broadcasting, Oral History Metadata Synchronizer, and the WarMemoirSampo. The research analyzes how different metadata schemas handle narrative complexity, temporal granularity, and semantic interoperability. The findings highlight a shift in practice: while legacy systems often relegate granular interview content to human-readable notes, semantic web-based models transform linear narratives into machine-actionable nodes within knowledge graphs. The article concludes by proposing a Metadata Application Profile designed to bridge these descriptive gaps.

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Publication Details

Journal
Cataloging & Classification Quarterly
Published
2026-10-14
DOI
https://doi.org/10.1080/01639374.2026.2741846
Primary Topic
Library Science and Information Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Describing Oral History Interviews: A Comparative Study of Cataloging Schemas and Metadata Practices

Maria Vrachliotou, Christos A. Papatheodorou
Cataloging & Classification Quarterly
Library Science and Information Systems
article

Describing Oral History Interviews: A Comparative Study of Cataloging Schemas and Metadata Practices

Maria Vrachliotou, Christos A. Papatheodorou
article en

Abstract

This paper examines the descriptive challenges of Oral History interviews, by comparing records from the Library of Congress and the British Library, the American Archive of Public Broadcasting, Oral History Metadata Synchronizer, and the WarMemoirSampo. The research analyzes how different metadata schemas handle narrative complexity, temporal granularity, and semantic interoperability. The findings highlight a shift in practice: while legacy systems often relegate granular interview content to human-readable notes, semantic web-based models transform linear narratives into machine-actionable nodes within knowledge graphs. The article concludes by proposing a Metadata Application Profile designed to bridge these descriptive gaps.

Cataloging & Classification Quarterly
Ionian University (GR), National and Kapodistrian University of Athens (GR)
Openalex Percentile: Top 6%
Library Science and Information Systems
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