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Context and Meaning: The Challenges of Metadata for a Digital Image Library within the University
Author(s) -
John C. Attig,
Ann Copeland,
Michael P. Pelikan
Publication year - 2004
Publication title -
college and research libraries
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.886
H-Index - 52
eISSN - 2150-6701
pISSN - 0010-0870
DOI - 10.5860/crl.65.3.251
Subject(s) - metadata , computer science , world wide web , variety (cybernetics) , schema (genetic algorithms) , metadata repository , digital library , meta data services , context (archaeology) , controlled vocabulary , multimedia , information retrieval , art , paleontology , literature , poetry , artificial intelligence , biology
To be successful in the university environment, a digital library must be able to integrate content from faculty and students, as well as traditional library sources. It must have a robust metadata structure that can accommodate and preserve a variety of discipline-specific metadata while supporting consistent access across collections. As part of the Mellon-funded project, the Visual Image User Study at Penn State, a prototype centralized digital image delivery service was created and explored. In creating a metadata schema for the project, the authors anticipated both a wide variety of content and users across many disciplines. This schema employed three very differ- ent standards (VRA Core Categories, Dublin Core, IMS Learning Objects Meta-data). The project validated the need for highly individualized content, the importance of individual faculty collections, the need for editorial interven- tion to supplement and modify contributed metadata, and the importance of addressing discipline-specific vocabularies and taxonomies.

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