Search (159 results, page 1 of 8)

  • × theme_ss:"Metadaten"
  1. Wartburg, K. von; Sibille, C.; Aliverti, C.: Metadata collaboration between the Swiss National Library and research institutions in the field of Swiss historiography (2019) 0.04
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    Date
    30. 5.2019 19:22:49
  2. Keith, C.: Using XSLT to manipulate MARC metadata (2004) 0.04
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    Source
    Library hi tech. 22(2004) no.2, S.122-130
  3. DeZelar-Tiedman, C.: Exploring user-contributed metadata's potential to enhance access to literary works (2011) 0.04
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    Date
    10. 9.2000 17:38:22
  4. Roy, W.; Gray, C.: Preparing existing metadata for repository batch import : a recipe for a fickle food (2018) 0.03
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    Date
    10.11.2018 16:27:22
  5. Jimenez, V.O.R.: Nuevas perspectivas para la catalogacion : metadatos ver MARC (1999) 0.03
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    Date
    30. 3.2002 19:45:22
    Source
    Revista Española de Documentaçion Cientifica. 22(1999) no.2, S.198-219
  6. Andresen, L.: Metadata in Denmark (2000) 0.02
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    Date
    16. 7.2000 20:58:22
  7. MARC and metadata : METS, MODS, and MARCXML: current and future implications (2004) 0.02
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    Source
    Library hi tech. 22(2004) no.1
  8. Wessel, C.: "Publishing and sharing your metadata application profile" : 2. SCHEMAS-Workshop in Bonn (2001) 0.02
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    Date
    11. 3.2001 17:10:22
  9. Willis, C.; Greenberg, J.; White, H.: Analysis and synthesis of metadata goals for scientific data (2012) 0.02
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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.
  10. Moen, W.E.: ¬The metadata approach to accessing government information (2001) 0.02
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    Date
    28. 3.2002 9:22:34
  11. MARC and metadata : METS, MODS, and MARCXML: current and future implications (2004) 0.02
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    Source
    Library hi tech. 22(2004) no.1
  12. MARC and metadata : METS, MODS, and MARCXML: current and future implications part 2 (2004) 0.02
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    Source
    Library hi tech. 22(2004) no.2
  13. 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 (2008) 0.02
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    Footnote
    Vgl.: http://dcpapers.dublincore.org/index.php/pubs/issue/view/32/showToc. - Vgl. auch den Bericht über die Tagung in: ZfBB 26(2009) H.1, S.35-37 (C. Frodl u. M. Keßler)
  14. Jenkins, C.: Automatic RDF metadata generation for resource discovery (1999) 0.02
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  15. Slavic, A.; Baiget, C.: Using Dublin Core in educational material : some practical considerations based on the EASEL experience (2001) 0.02
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  16. Lagoze, C.; Lynch, C.A.; Daniel, R. Jr.: ¬The Warwick Framework : a container architecture for aggregating sets of metadata, 24.6.1996 (1996) 0.02
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  17. Hengel-Dittrich, C.: Metadaten : Alternative oder Grundlage der bibliographischen Erschließung? (1999) 0.02
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  18. Neuroth, H.; Tappenbeck, I.; Wessel, C.: ¬Der 8. Dublin Core Metadata Initiative Workshop (2000) 0.02
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  19. Broughton, V.: Automatic metadata generation : Digital resource description without human intervention (2007) 0.02
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    Date
    22. 9.2007 15:41:14
  20. Hengel-Dittrich, C.: Metadaten und Persistent Identifier : ein Informationstag für Verlage an Der Deutschen Bibliothek (1999) 0.02
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Authors

Years

Languages

  • e 123
  • d 30
  • chi 3
  • f 1
  • sp 1
  • More… Less…

Types

  • a 147
  • el 14
  • s 7
  • m 4
  • b 2
  • n 1
  • More… Less…