Journal article
Theoretical Considerations of Lifecycle Modeling: An Analysis of the Dryad Repository Demonstrating Automatic Metadata Propagation, Inheritance, and Value System Adoption
Cataloging & classification quarterly, v 47(3-4), pp 380-402
09 Apr 2009
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The Dryad repository is for data supporting published research in the field of evolutionary biology and related disciplines. Dryad development team members seek a theoretical framework to aid communication about metadata issues and plans. This article explores lifecycle modeling as a theoretical framework for understanding metadata in the repository environment. A background discussion reviews the importance of theory, the status of a metadata theory, and lifecycle concepts. An analysis draws examples from the Dryad repository demonstrating automatic propagation, metadata inheritance, and value system adoption, and reports results from a faceted term mapping experiment that included 12 vocabularies and approximately 600 terms. The article also reports selected key findings from a recent survey on the data-sharing attitudes and behaviors of nearly 400 evolutionary biologists. The results confirm the applicability of lifecycle modeling to Dryad's metadata infrastructure. The article concludes that lifecycle modeling provides a theoretical framework that can enhance our understanding of metadata, aid communication about the topic of metadata in the repository environment, and potentially help sustain robust repository development.
Metrics
Details
- Title
- Theoretical Considerations of Lifecycle Modeling: An Analysis of the Dryad Repository Demonstrating Automatic Metadata Propagation, Inheritance, and Value System Adoption
- Creators
- Jane Greenberg - University of North Carolina at Chapel Hill
- Publication Details
- Cataloging & classification quarterly, v 47(3-4), pp 380-402
- Publisher
- Taylor & Francis Group
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000210517400011
- Scopus ID
- 2-s2.0-72749089248
- Other Identifier
- 991014877822504721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
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- Web of Science research areas
- Information Science & Library Science