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The Metadata Ecosystem of DataID

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Metadata and Semantics Research (MTSR 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 672))

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Abstract

The rapid increase of data produced in a data-centric economy emphasises the need for rich metadata descriptions of datasets, covering many domains and scenarios. While there are multiple metadata formats, describing datasets for specific purposes, exchanging metadata between them is often a difficult endeavour. More general approaches for domain-independent descriptions, often lack the precision needed in many domain-specific use cases. This paper introduces the multilayer ontology of DataID, providing semantically rich metadata for complex datasets. In particular, we focus on the extensibility of its core model and the interoperability with foreign ontologies and other metadata formats. As a proof of concept, we will present a way to describe Data Management Plans (DMP) of research projects alongside the metadata of its datasets, repositories and involved agents.

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Notes

  1. 1.

    https://www.theguardian.com/technology/2013/aug/23/tech-giants-data.

  2. 2.

    http://siliconangle.com/blog/2015/10/28/page/3#post-254300.

  3. 3.

    http://www.wired.co.uk/news/archive/2012-11/09/raw-data.

  4. 4.

    http://www.ibmbigdatahub.com/infographic/four-vs-big-data.

  5. 5.

    http://datahub.io/.

  6. 6.

    http://ckan.org/.

  7. 7.

    https://www.w3.org/TR/vocab-adms/.

  8. 8.

    https://joinup.ec.europa.eu/asset/dcat_application_profile/asset_release/dcat-ap-v11.

  9. 9.

    https://joinup.ec.europa.eu/community/semic/news/dcat-ap-v11-endorsed-isa-committee.

  10. 10.

    http://europa.eu/rapid/press-release_MEMO-11-891_en.htm.

  11. 11.

    https://github.com/dbpedia/DataId-Ontology/tree/master/ld.

  12. 12.

    https://github.com/dbpedia/DataId-Ontology/tree/DataManagementPlanExtension/acp.

  13. 13.

    http://w3c.github.io/data-shapes/shacl/.

  14. 14.

    https://www.w3.org/TR/owl2-profiles/.

  15. 15.

    http://wiki.dbpedia.org/use-cases/data-management-plan-extension-dataid#Organisation.

  16. 16.

    http://www.re3data.org/.

  17. 17.

    http://www.dfg.de/.

  18. 18.

    https://www.datacite.org/.

  19. 19.

    http://www.re3data.org/tag/databib/.

  20. 20.

    http://downloads.dbpedia.org/2015-10/core-i18n/en/2015-10_dataid_en.ttl.

  21. 21.

    https://www.w3.org/Submission/xsparql-language-specification/.

  22. 22.

    https://github.com/dbpedia/Cmdi-DataID-mappings.

  23. 23.

    http://downloads.dbpedia.org/2015-10/core-i18n/en/2015-10_dataid_en.ttl.

References

  1. Brüummer, M., et al.: DataID: towards semantically rich metadata for complex datasets. In: Proceedings of the 10th International Conference on Semantic Systems, SEM 2014, pp. 84–91. ACM, Leipzig (2014)

    Google Scholar 

  2. Deri, F.M., Galway, N.: Data Catalog Vocabulary (DCAT). W3C Recommendation. https://www.w3.org/TR/vocab-dcat/

  3. Maali, F., Cyganiak, R., Peristeras, V.: Enabling interoperability of government data catalogues. In: Wimmer, M.A., Chappelet, J.-L., Janssen, M., Scholl, H.J. (eds.) EGOV 2010. LNCS, vol. 6228, pp. 339–350. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  4. McCrae, J.P., Labropoulou, P., Gracia, J., Villegas, M., Rodríguez-Doncel, V., Cimiano, P.: One ontology to bind them all: the meta-share owl ontology for the interoperability of linguistic datasets on the web. In: Gandon, F., Guéret, C., Villata, S., Breslin, J., Faron-Zucker, C., Zimmermann, A. (eds.) ESWC 2015. LNCS, vol. 9341, pp. 271–282. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  5. Nielsen, H.F.: Interoperability and evolvability. https://www.w3.org/Protocols/Design/Interevol.html

  6. Alexander, K., et al.: Describing linked datasets with the VoID vocabulary. W3C Interest Group Note. https://www.w3.org/TR/void/

  7. McGuinness, D., Lebo, T., Sahoo, S.: The PROV ontology. W3C Recommendation. http://www.w3.org/TR/prov-o/

  8. Cyganiak, R., et al.: The RDF data cube vocabulary. W3C Recommendation. https://www.w3.org/TR/vocab-data-cube/

  9. Pampel, H., et al.: Making research data repositories visible: the re3data.org registry. PLoS ONE 8(11), e78080 (2013)

    Article  Google Scholar 

  10. Rücknagel, J., et al.: Metadata schema for the description of research data repositories. In: GFZ Germans Research Center for Geosciences

    Google Scholar 

  11. Broeder, D., et al.: A data category registry- and component-based metadata framework. In: Proceedings of LREC. European Language Resources Association (2010). ISBN: 2-9517408-6-7

    Google Scholar 

  12. Hinrichs, E., Krauwer, S.: The CLARIN research infrastructure: resources and tools for e-Humanities scholars. In: Proceedings of LREC 2014. European Language Resources Association (ELRA) (2014)

    Google Scholar 

  13. Durco, M., Windhouwer, M.: From CLARIN component metadata to linked open data. In: LDL 2014, LREC Workshop (2014)

    Google Scholar 

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Acknowledgements

This research has received funding by grants from the H2020 EU projects ALIGNED (GA 644055) and FREME (GA-644771) as well as the Smart Data Web (GA-01MD15010B).

Author information

Authors and Affiliations

  1. Institut für Angewandte Informatik (InfAI), AKSW/KILT, Universität Leipzig, Leipzig, Germany

    Markus Freudenberg, Dimitris Kontokostas & Sebastian Hellmann

  2. eccenca GmbH, Hainstr. 8, 04109, Leipzig, Germany

    Martin Brümmer

  3. re3data, Göttingen, Germany

    Jessika Rücknagel

  4. re3data, Karlsruhe, Germany

    Robert Ulrich

  5. Abteilung Automatische Sprachverarbeitung, Universität Leipzig, Leipzig, Germany

    Thomas Eckart

Authors
  1. Markus Freudenberg
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  2. Martin Brümmer
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  3. Jessika Rücknagel
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  4. Robert Ulrich
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  5. Thomas Eckart
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  6. Dimitris Kontokostas
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  7. Sebastian Hellmann
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Corresponding author

Correspondence to Markus Freudenberg .

Editor information

Editors and Affiliations

  1. Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Alexander Technological Educational Inst , Rome, Italy

    Imma Subirats Coll

  3. Sapienza University of Rome , Rome, Italy

    Armando Stellato

  4. Drexel University, Philadelphia, Pennsylvania, USA

    Jane Greenberg

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Freudenberg, M. et al. (2016). The Metadata Ecosystem of DataID. In: Garoufallou, E., Subirats Coll, I., Stellato, A., Greenberg, J. (eds) Metadata and Semantics Research. MTSR 2016. Communications in Computer and Information Science, vol 672. Springer, Cham. https://doi.org/10.1007/978-3-319-49157-8_28

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  • DOI: https://doi.org/10.1007/978-3-319-49157-8_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49156-1

  • Online ISBN: 978-3-319-49157-8

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