Search (44 results, page 1 of 3)

  • × theme_ss:"Metadaten"
  • × year_i:[2010 TO 2020}
  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. 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
  3. 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
  4. 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
  5. Pfister, E.; Wittwer, B.; Wolff, M.: Metadaten - Manuelle Datenpflege vs. Automatisieren : ein Praxisbericht zu Metadatenmanagement an der ETH-Bibliothek (2017) 0.02
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    Source
    B.I.T.online. 20(2017) H.1, S.22-25
  6. Desconnets, J.-C.; Chahdi, H.; Mougenot, I.: Application profile for earth observation images (2014) 0.02
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  7. 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
  8. Birkner, M.; Gonter, G.; Lackner, K.; Kann, B.; Kranewitter, M.; Mayer, A.; Parschalk, A.: Guideline zur Langzeitarchivierung (2016) 0.02
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    Abstract
    Guideline zur Hilfestellung für die Langzeitarchivierung von Daten und Objekten im Kontext des Publikations- und Forschungswesens. Diese Guideline soll Hilfestellung für die Langzeitarchivierung von Daten und Objekten im Kontext des Publikations- und Forschungswesens bieten. Sie ist ausdrücklich nicht für den Kontext der Compliance anwendbar. Sie soll dazu ermächtigen, die richtigen Fragen zur Auswahl der für die eigene Institution geeigneten Langzeitarchivierungs-Lösung zu stellen und bei der Entscheidung für eine System-Lösung behilflich sein. Langzeitarchivierungssysteme werden hier als Systeme verstanden, die im Workflow hinter einem Repositorium stehen, in dem digitale Objekte und ihre Metadaten gespeichert und angezeigt werden sowie recherchierbar sind. Allfällige Begriffserklärungen finden Sie im Glossar des Clusters C (Aufbau eines Wissensnetzwerks: Erarbeitung eines Referenzmodells für den Aufbau von Repositorien / Themenbereich Terminologie und Standards).
    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 69(2016) H.1, S.41-57
  9. 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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  10. 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.
  11. Kopácsi, S. et al.: Development of a classification server to support metadata harmonization in a long term preservation system (2016) 0.01
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  12. Hajra, A. et al.: Enriching scientific publications from LOD repositories through word embeddings approach (2016) 0.01
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  13. Mora-Mcginity, M. et al.: MusicWeb: music discovery with open linked semantic metadata (2016) 0.01
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  14. Alves dos Santos, E.; Mucheroni, M.L.: VIAF and OpenCitations : cooperative work as a strategy for information organization in the linked data era (2018) 0.01
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    Date
    18. 1.2019 19:13:22
  15. Ilik, V.; Storlien, J.; Olivarez, J.: Metadata makeover (2014) 0.01
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  17. Ashton, J.; Kent, C.: New approaches to subject indexing at the British Library (2017) 0.01
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