-
Ilik, V.; Storlien, J.; Olivarez, J.: Metadata makeover (2014)
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- Date
- 10. 9.2000 17:38:22
-
Baker, T.: Dublin Core Application Profiles : current approaches (2010)
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- Source
- Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
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Mi, X.M.; Pollock, B.M.: Metadata schema to facilitate linked data for 3D digital models of cultural heritage collections : a University of South Florida Libraries case study (2018)
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- Abstract
- The University of South Florida Libraries house and provide access to a collection of cultural heritage and 3D digital models. In an effort to provide greater access to these collections, a linked data project has been implemented. A metadata schema for the 3D cultural heritage objects which uses linked data is an excellent way to share these collections with other repositories, thus gaining global exposure and access to these valuable resources. This article will share the process of building the 3D cultural heritage metadata model as well as an assessment of the model and recommendations for future linked data projects.
-
Riley, J.: Understanding metadata : what is metadata, and what is it for? (2017)
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-
Willis, C.; Greenberg, J.; White, H.: Analysis and synthesis of metadata goals for scientific data (2012)
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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.
-
Stiller, J.; Király, P.: Multitlinguality of metadata : measuring the miltilingual degree of Europeana's metadata (2017)
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-
Bogaard, T.; Hollink, L.; Wielemaker, J.; Ossenbruggen, J. van; Hardman, L.: Metadata categorization for identifying search patterns in a digital library (2019)
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-
Desconnets, J.-C.; Chahdi, H.; Mougenot, I.: Application profile for earth observation images (2014)
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-
Stiller, J.; Olensky, M.; Petras, V.: ¬A framework for the evaluation of automatic metadata enrichments (2014)
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-
Kleeck, D. Van; Langford, G.; Lundgren, J.; Nakano, H.; O'Dell, A.J.; Shelton, T.: Managing bibliographic data quality in a consortial academic library : a case study (2016)
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-
Ashton, J.; Kent, C.: New approaches to subject indexing at the British Library (2017)
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Kleeck, D. Van; Nakano, H.; Langford, G.; Shelton, T.; Lundgren, J.; O'Dell, A.J.: Managing bibliographic data quality for electronic resources (2017)
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Park, J.-R.; Tosaka, Y.: Metadata quality control in digital repositories and collections : criteria, semantics, and mechanisms (2010)
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-
Welhouse, Z.; Lee, J.H.; Bancroft, J.: "What am I fighting for?" : creating a controlled vocabulary for video game plot metadata (2015)
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-
Edmunds, J.: Roadmap to nowhere : BIBFLOW, BIBFRAME, and linked data for libraries (2017)
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