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A Linked Data Model for Data Scopes

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Metadata and Semantic Research (MTSR 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1355))

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Abstract

With the rise of data driven methods in the humanities, it becomes necessary to develop reusable and consistent methodological patterns for dealing with the various data manipulation steps. This increases transparency, replicability of the research. Data scopes present a qualitative framework for such methodological steps. In this work we present a Linked Data model to represent and share Data Scopes. The model consists of a central Data scope element, with linked elements for data Selection, Linking, Modeling, Normalisation and Classification. We validate the model by representing the data scope for 24 articles from two domains: Humanities and Social Science.

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Notes

  1. 1.

    https://github.com/biktorrr/datascope_ontology.

  2. 2.

    https://academic.oup.com/dsh.

  3. 3.

    https://www.springer.com/journal/42001.

  4. 4.

    http://mediasuite.clariah.nl.

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Acknowledgements

The research for this article was made possible by the CLARIAH-PLUS project financed by NWO (http://www.clariah.nl). The authors would like to thank Gard Ruurd for his contributions to the research.

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Authors and Affiliations

  1. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Victor de Boer & Ivette Bonestroo

  2. Huygens ING, Amsterdam, The Netherlands

    Marijn Koolen & Rik Hoekstra

Authors
  1. Victor de Boer
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  2. Ivette Bonestroo
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  3. Marijn Koolen
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  4. Rik Hoekstra
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Corresponding author

Correspondence to Victor de Boer .

Editor information

Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Complutense University of Madrid, Madrid, Spain

    María-Antonia Ovalle-Perandones

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de Boer, V., Bonestroo, I., Koolen, M., Hoekstra, R. (2021). A Linked Data Model for Data Scopes. In: Garoufallou, E., Ovalle-Perandones, MA. (eds) Metadata and Semantic Research. MTSR 2020. Communications in Computer and Information Science, vol 1355. Springer, Cham. https://doi.org/10.1007/978-3-030-71903-6_32

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  • DOI: https://doi.org/10.1007/978-3-030-71903-6_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71902-9

  • Online ISBN: 978-3-030-71903-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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