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  1. Willis, C.; Greenberg, J.; White, H.: Analysis and synthesis of metadata goals for scientific data (2012) 0.03
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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.
  2. Frodl, C.: International Conference on Dublin Core and Metadata Applications (2007) 0.03
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    Source
    Dialog mit Bibliotheken. 19(2007) H.1, S.29-32
  3. Wartburg, K. von; Sibille, C.; Aliverti, C.: Metadata collaboration between the Swiss National Library and research institutions in the field of Swiss historiography (2019) 0.03
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    Date
    30. 5.2019 19:22:49
  4. White, H.: Examining scientific vocabulary : mapping controlled vocabularies with free text keywords (2013) 0.02
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    Date
    29. 5.2015 19:09:22
  5. Keith, C.: Using XSLT to manipulate MARC metadata (2004) 0.02
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    Source
    Library hi tech. 22(2004) no.2, S.122-130
  6. DeZelar-Tiedman, C.: Exploring user-contributed metadata's potential to enhance access to literary works (2011) 0.02
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    Date
    10. 9.2000 17:38:22
  7. Desconnets, J.-C.; Chahdi, H.; Mougenot, I.: Application profile for earth observation images (2014) 0.02
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  8. Roy, W.; Gray, C.: Preparing existing metadata for repository batch import : a recipe for a fickle food (2018) 0.02
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    Date
    10.11.2018 16:27:22
  9. Masanès, J.; Lupovici, C.: Preservation metadata : the NEDLIB's proposal Bibliothèque Nationale de France (2001) 0.02
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    Source
    Zeitschrift für Bibliothekswesen und Bibliographie. 48(2001) H.3/4, S.194-199
  10. Lagoze, C.; Van de Sompel, H.: ¬The making of the Open Archives Initiative Protocol for Metadata Harvesting (2003) 0.02
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  11. Jacob, E.K.; Albrechtsen, H.; George, N.: Empirical analysis and evaluation of a metadata scheme for representing pedagogical resources in a digital library for educators (2006) 0.02
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    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
  12. Chang, H.-C.; Iyer, I.: Trends in Twitter hashtag applications : design features for value-added dimensions to future library catalogues (2012) 0.02
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  13. Yang, T.-H.; Hsieh, Y.-L.; Liu, S.-H.; Chang, Y.-C.; Hsu, W.-L.: ¬A flexible template generation and matching method with applications for publication reference metadata extraction (2021) 0.02
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  14. Andresen, L.: Metadata in Denmark (2000) 0.02
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    Date
    16. 7.2000 20:58:22
  15. 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
  16. Cho, H.; Donovan, A.; Lee, J.H.: Art in an algorithm : a taxonomy for describing video game visual styles (2018) 0.02
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    Abstract
    The discovery and retrieval of video games in library and information systems is, by and large, dependent on a limited set of descriptive metadata. Noticeably missing from this metadata are classifications of visual style-despite the overwhelmingly visual nature of most video games and the interest in visual style among video game users. One explanation for this paucity is the difficulty in eliciting consistent judgements about visual style, likely due to subjective interpretations of terminology and a lack of demonstrable testing for coinciding judgements. This study presents a taxonomy of video game visual styles constructed from the findings of a 22-participant cataloging user study of visual styles. A detailed description of the study, and its value and shortcomings, are presented along with reflections about the challenges of cultivating consensus about visual style in video games. The high degree of overall agreement in the user study demonstrates the potential value of a descriptor like visual style and the use of a cataloging study in developing visual style taxonomies. The resulting visual style taxonomy, the methods and analysis described herein may help improve the organization and retrieval of video games and possibly other visual materials like graphic designs, illustrations, and animations.
  17. Nichols, D.M.; Paynter, G.W.; Chan, C.-H.; Bainbridge, D.; McKay, D.; Twidale, M.B.; Blandford, A.: Experiences in deploying metadata analysis tools for institutional repositories (2009) 0.02
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  18. Qin, C.; Liu, Y.; Ma, X.; Chen, J.; Liang, H.: Designing for serendipity in online knowledge communities : an investigation of tag presentation formats and openness to experience (2022) 0.02
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  19. Moen, W.E.: ¬The metadata approach to accessing government information (2001) 0.01
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    Date
    28. 3.2002 9:22:34
  20. MARC and metadata : METS, MODS, and MARCXML: current and future implications (2004) 0.01
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    Source
    Library hi tech. 22(2004) no.1

Years

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  • s 6
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