Full Paper

Remodeling Archival Metadata Descriptions for Linked Archives

Brian Dobreski ,Jaihyun Park ,Alicia Leathers ,Jian Qin

DOI: 10.23106/dcmi.952141553

Abstract

Though archival resources may be valued for their uniqueness, they do not exist in isolation from each other, and stand to benefit from linked data treatments capable of exposing them to a wider network of resources and potential users. To leverage these benefits, existing, item-level metadata depicting physical materials and their digitized surrogates must be remodeled as linked data. A number of solutions exist, but many current models in this domain are complex and may not capture all relevant aspects of larger, heterogeneous collections of media materials. This paper presents the development of the Linked Archives model, a linked data approach to making item-level metadata available for archival collections of media materials, including photographs, sound recordings, and video recordings. Developed and refined through an examination of existing collection and item metadata alongside comparisons to established domain ontologies and vocabularies, this model takes a modular approach to remodeling archival data as linked data. Current efforts focused on a simplified, user discovery focused module intended to improve access to these materials and the incorporation of their metadata into the wider web of data. This project contributes to work exploring the representation of the range of archival and special collections and how these materials may be addressed via linked data models.

Author information

Brian Dobreski

School of Information Sciences, University of Tennessee,US

Jaihyun Park

School of Information Sciences, University of Tennessee,US

Alicia Leathers

School of Information Studies, Syracuse University,US

Jian Qin

School of Information Studies, Syracuse University,US

Cite this article

Dobreski, B., Park, J., Leathers, A., & Qin, J. (2020). Remodeling Archival Metadata Descriptions for Linked Archives. Proceedings of the International Conference on Dublin Core and Metadata Applications, 2020. https://doi.org/10.23106/dcmi.952141553
Published

Issue

DC-2019--The Seoul, South Korea Proceedings
Location:
National Library of Korea, Seoul, South Korea
Dates:
September 23-26, 2019
CC-0 Logo Metadata and citations of this article is published under the Creative Commons Zero Universal Public Domain Dedication (CC0), allowing unrestricted reuse. Anyone can freely use the metadata from DCPapers articles for any purpose without limitations.
CC-BY Logo This article full-text is published under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows use, sharing, adaptation, distribution, and reproduction in any medium or format, provided that appropriate credit is given to the original author(s) and the source is cited.