Where Have All the Collections Gone?: Analysis of OLAC Data Contributors' use of DCMIType 'Collection'

Abstract

Language materials, as commonly conceptualized by academics, are resources which specifically exhibit or provide evidence of a naturally spoken language. The modern area of academic practice known as language documentation has its roots in anthropological linguistics but maintains a strong adherence to ideals which call for the archiving of source materials. The purpose for archiving is to benefit the many stakeholders involved in language development activities. Language archives, hosting language resources, have by and large adopted Dublin Core as a metadata standard along with the additional metadata terms of the Open Language Archive Community (OLAC) application profile as described in Bird and Simons (2001, 2003). This study is a first look at how the DCMIType ‘Collection’ is used across aggregated records from language archives. This study finds that current practices of arrangement and description at language resource preservation institutions participating in OLAC do not currently follow archival best practices in arrangement and description as described in frameworks like Describing Archives: A Content Standard including honoring principles like respect des fonds. This has multiple impacts including consequences in web-based navigation and discoverability.

Title
Where Have All the Collections Gone?: Analysis of OLAC Data Contributors’ use of DCMIType ‘Collection’
Publication
In Proceedings of the 15th Annual Society of American Archivists Research Forum.
Date
May 2022

Citable as

Paterson III, Hugh J. (2022) “Analysis of OLAC Data Contributors’ use of DCMIType ‘Collection’” In the proeedings of the 15th Annual Society of American Archivists Research Forum. 21 July, 2021.

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Hugh Paterson III
Hugh Paterson III
Collaborative Scholar

My research interests include typological patterns in articulatory phonetics; User Experience design in language tools; and graph theory applied to language and linguistic resource discovery.

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