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Greenberg, J.: Metadata and the World Wide Web (2002) 0.04
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Abstract

Metadata is of paramount importance for persons, organizations, and endeavors of every dimension that are increasingly turning to the World Wide Web (hereafter referred to as the Web) as a chief conduit for accessing and disseminating information. This is evidenced by the development and implementation of metadata schemas supporting projects ranging from restricted corporate intranets, data warehouses, and consumer-oriented electronic commerce enterprises to freely accessible digital libraries, educational initiatives, virtual museums, and other public Web sites. Today's metadata activities are unprecedented because they extend beyond the traditional library environment in an effort to deal with the Web's exponential growth. This article considers metadata in today's Web environment. The article defines metadata, examines the relationship between metadata and cataloging, provides definitions for key metadata vocabulary terms, and explores the topic of metadata generation. Metadata is an extensive and expanding subject that is prevalent in many environments. For practical reasons, this article has elected to concentrate an the information resource domain, which is defined by electronic textual documents, graphical images, archival materials, museum artifacts, and other objects found in both digital and physical information centers (e.g., libraries, museums, record centers, and archives). To show the extent and larger application of metadata, several examples are also drawn from the data warehouse, electronic commerce, open source, and medical communities.

Greenberg, J.: Metadata generation : processes, people and tools (2003) 0.02

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Abstract: Metadata generation is the act of creating or producing metadata. Generating good quality metadata in an efficient manner is essential for organizing and making accessible the growing number of rich resources available an the Web. The success of digital libraries, the sustenance of interoperability - as promoted by the Open Archives Initiative - and the evolution of Semantic Web all rely an efficient metadata generation. This article sketches a metadata generation framework that involves processes, people and tools. It also presents selected research initiatives and highlights the goals of the Metadata Generation Research Project.
Source: Bulletin of the American Society for Information Science. 29(2003) no.2, S.16-19

Greenberg, J.; Pattuelli, M.; Parsia, B.; Robertson, W.: Author-generated Dublin Core Metadata for Web Resources : A Baseline Study in an Organization (2002) 0.01

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Greenberg, J.: ¬A quantitative categorical analysis of metadata elements in image-applicable metadata schemes (2001) 0.00

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Date: 29. 9.2001 18:42:27

White, H.C.; Carrier, S.; Thompson, A.; Greenberg, J.; Scherle, R.: ¬The Dryad Data Repository : a Singapore framework metadata architecture in a DSpace environment (2008) 0.00

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Source: Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas

Greenberg, J.: Understanding metadata and metadata scheme (2005) 0.00

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Date: 29. 9.2008 19:11:00

Greenberg, J.: Theoretical considerations of lifecycle modeling : an analysis of the Dryad Repository demonstrating automatic metadata propagation, inheritance, and value system adoption (2009) 0.00
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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 repostiroy enivornment. 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. Te 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.

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