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  • × author_ss:"Greenberg, J."
  1. Greenberg, J.: ¬A quantitative categorical analysis of metadata elements in image-applicable metadata schemes (2001) 0.04 
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    Abstract
    This article reports on a quantitative categorical analysis of metadata elements in the Dublin Core, VRA Core, REACH, and EAD metadata schemas, all of which can be used for organizing and describing images. The study found that each of the examined metadata schemas contains elements that support the discovery, use, authentication, and administration of images, and that the number and proportion of elements supporting functions in these classes varies per schema. The study introduces a new schema comparison methodology and explores the development of a class-oriented functional metadata schema for controlling images across multiple domains
    Date
    29. 9.2001 18:42:27
  2. 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) 0.04 
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    Abstract
    This report presents recent metadata developments for Dryad, a digital repository hosting datasets underlying publications in the field of evolutionary biology. We review our efforts to bring the Dryad application profile into conformance with the Singapore Framework and discuss practical issues underlying the application profile implementation in a DSpace environment. The report concludes by outlining the next steps planned as Dryad moves into the next phase of development.
    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
  3. Greenberg, J.: Understanding metadata and metadata scheme (2005) 0.03 
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    Abstract
    Although the development and implementation of metadata schemes over the last decade has been extensive, research examining the sum of these activities is limited. This limitation is likely due to the massive scope of the topic. A framework is needed to study the full extent of, and functionalities supported by, metadata schemes. Metadata schemes developed for information resources are analyzed. To begin, I present a review of the definition of metadata, metadata functions, and several metadata typologies. Next, a conceptualization for metadata schemes is presented. The emphasis is on semantic container-like metadata schemes (data structures). The last part of this paper introduces the MODAL (Metadata Objectives and principles, Domains, and Architectural Layout) framework as an approach for studying metadata schemes. The paper concludes with a brief discussion on value of frameworks for examining metadata schemes, including different types of metadata schemes.
    Date
    29. 9.2008 19:11:00
  4. Greenberg, J.: Advancing Semantic Web via library functions (2006) 0.02 
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    Abstract
    This article explores the applicability primary library functions (collection development, cataloging, reference, and circulation) to the Semantic Web. The article defines the Semantic Web, identifies similarities between the library institution and the Semantic Web, and presents research questions guiding the inquiry. The article addresses each library function and demonstrates the applicability of each function's polices to Semantic Web development. Results indicate that library functions are applicable to Semantic Web, with "collection development" translating to "Semantic Web selection;" "cataloging" translating to "Semantic Web 'semantic' representation;" "reference" translating to "Semantic Web service," and circulation translating to "Semantic Web resource use." The last part of this article includes a discussion about the lack of embrace between the library and the Semantic Web communities, recommendations for improving this gap, and research conclusions.
  5. Greenberg, J.: Theoretical considerations of lifecycle modeling : an analysis of the Dryad Repository demonstrating automatic metadata propagation, inheritance, and value system adoption (2009) 0.02 
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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.
  6. Newby, G.B.; Greenberg, J.; Jones, P.: Open source software development and Lotka's law : bibliometric patterns in programming (2003) 0.01 
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  7. Greenberg, J.: Metadata and the World Wide Web (2002) 0.01 
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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.
  8. Greenberg, J.: Metadata generation : processes, people and tools (2003) 0.01 
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    Source
    Bulletin of the American Society for Information Science. 29(2003) no.2, S.16-19
  9. Greenberg, J.: Optimal query expansion (QE) processing methods with semantically encoded structured thesaurus terminology (2001) 0.00 
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    Date
    29. 9.2001 14:00:11
  10. Greenberg, J.; Murillo, A.; Ogletree, A.; Boyles, R.; Martin, N.; Romeo, C.: Metadata capital : automating metadata workflows in the NIEHS viral vector core laboratory (2014) 0.00 
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    Source
    Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
  11. Greenberg, J.: Automatic query expansion via lexical-semantic relationships (2001) 0.00 
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    Date
    29. 9.2001 13:59:48
  12. Crystal, A.; Greenberg, J.: Relevance criteria identified by health information users during Web searches (2006) 0.00 
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    Date
    18. 8.2006 13:29:36
  13. Greenberg, J.; Mayer-Patel, K.; Trujillo, S.: YouTube: applying FRBR and exploring the multiple description coding compression model (2012) 0.00 
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    Date
    29. 5.2015 10:53:13
  14. White, H.; Willis, C.; Greenberg, J.: HIVEing : the effect of a semantic web technology on inter-indexer consistency (2014) 0.00 
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    Abstract
    Purpose - The purpose of this paper is to examine the effect of the Helping Interdisciplinary Vocabulary Engineering (HIVE) system on the inter-indexer consistency of information professionals when assigning keywords to a scientific abstract. This study examined first, the inter-indexer consistency of potential HIVE users; second, the impact HIVE had on consistency; and third, challenges associated with using HIVE. Design/methodology/approach - A within-subjects quasi-experimental research design was used for this study. Data were collected using a task-scenario based questionnaire. Analysis was performed on consistency results using Hooper's and Rolling's inter-indexer consistency measures. A series of t-tests was used to judge the significance between consistency measure results. Findings - Results suggest that HIVE improves inter-indexing consistency. Working with HIVE increased consistency rates by 22 percent (Rolling's) and 25 percent (Hooper's) when selecting relevant terms from all vocabularies. A statistically significant difference exists between the assignment of free-text keywords and machine-aided keywords. Issues with homographs, disambiguation, vocabulary choice, and document structure were all identified as potential challenges. Research limitations/implications - Research limitations for this study can be found in the small number of vocabularies used for the study. Future research will include implementing HIVE into the Dryad Repository and studying its application in a repository system. Originality/value - This paper showcases several features used in HIVE system. By using traditional consistency measures to evaluate a semantic web technology, this paper emphasizes the link between traditional indexing and next generation machine-aided indexing (MAI) tools.
  15. Shoffner, M.; Greenberg, J.; Kramer-Duffield, J.; Woodbury, D.: Web 2.0 semantic systems : collaborative learning in science (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
  16. Willis, C.; Greenberg, J.; White, H.: Analysis and synthesis of metadata goals for scientific data (2012) 0.00 
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    Abstract
    The proliferation of discipline-specific metadata schemes contributes to artificial barriers that can impede interdisciplinary and transdisciplinary research. The authors considered this problem by examining the domains, objectives, and architectures of nine metadata schemes used to document scientific data in the physical, life, and social sciences. They used a mixed-methods content analysis and Greenberg's () metadata objectives, principles, domains, and architectural layout (MODAL) framework, and derived 22 metadata-related goals from textual content describing each metadata scheme. Relationships are identified between the domains (e.g., scientific discipline and type of data) and the categories of scheme objectives. For each strong correlation (>0.6), a Fisher's exact test for nonparametric data was used to determine significance (p < .05). Significant relationships were found between the domains and objectives of the schemes. Schemes describing observational data are more likely to have "scheme harmonization" (compatibility and interoperability with related schemes) as an objective; schemes with the objective "abstraction" (a conceptual model exists separate from the technical implementation) also have the objective "sufficiency" (the scheme defines a minimal amount of information to meet the needs of the community); and schemes with the objective "data publication" do not have the objective "element refinement." The analysis indicates that many metadata-driven goals expressed by communities are independent of scientific discipline or the type of data, although they are constrained by historical community practices and workflows as well as the technological environment at the time of scheme creation. The analysis reveals 11 fundamental metadata goals for metadata documenting scientific data in support of sharing research data across disciplines and domains. The authors report these results and highlight the need for more metadata-related research, particularly in the context of recent funding agency policy changes.

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