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Leibniz Data Manager – A Research Data Management System

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Image The Semantic Web: ESWC 2022 Satellite Events (ESWC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13384))

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Abstract

FAIR principles aim to enhance machine-actionability of research data management, and enable data consumers and providers to scale up to incoming data avalanches. This demo paper describes Leibniz Data Manager (LDM), a research data management repository that resorts to Semantic Web technologies to empower FAIR principles. During the demonstration, the attendees will create various digital objects, and observe the crucial role of metadata in efficient and effective management and analysis of research data management. LDM is publicly available: https://service.tib.eu/ldmservice/.

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Notes

  1. 1.

    https://www.w3.org/TR/vocab-dcat-2/.

  2. 2.

    https://schema.datacite.org/.

  3. 3.

    https://jupyter.org/.

  4. 4.

    https://www.doi.org/.

  5. 5.

    https://data.uni-hannover.de/.

  6. 6.

    https://www.w3.org/wiki/LinkedData.

  7. 7.

    https://ckan.org/.

  8. 8.

    https://github.com/ckan/ckanext-dcat.

  9. 9.

    https://github.com/SDM-TIB/LDM_Docker/.

  10. 10.

    https://www.tib.eu/en/research-development/scientific-data-management/.

  11. 11.

    https://www.tib.eu/en/tib/profile/.

  12. 12.

    https://orcid.org/.

  13. 13.

    https://service.tib.eu/ldmservice/service/.

References

  1. Chamanara, J., Kraft, A., Auer, S., Koepler, O.: Towards semantic integration of federated research data. Datenbank-Spektrum 19(2), 87–94 (2019). https://doi.org/10.1007/s13222-019-00315-w

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  2. Mosconi, G., et al.: Three gaps in opening science. Comput. Support. Coop. Work 28(3–4), 749–789 (2019). https://doi.org/10.1007/s10606-019-09354-z

    Article  Google Scholar 

  3. Wilkinson, M., et al.: The fair guiding principles for scientific data management and stewardship. Sci. Data 3(1), 1–9 (2016). https://doi.org/10.1038/sdata.2016.18

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Acknowledgements

The project is funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) in the LIS Funding Programme e-Research Technologies (grant no. 438302423).

Author information

Authors and Affiliations

  1. TIB - Leibniz Information Centre for Science and Technology, Hannover, Germany

    Anna Beer, Mauricio Brunet, Vibhav Srivastava & Maria-Esther Vidal

  2. Leibniz University Hannover, Hannover, Germany

    Maria-Esther Vidal

Authors
  1. Anna Beer
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  2. Mauricio Brunet
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  3. Vibhav Srivastava
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  4. Maria-Esther Vidal
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Corresponding author

Correspondence to Maria-Esther Vidal.

Editor information

Editors and Affiliations

  1. Faculty of Science, Informatics Institute, University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands

    Paul Groth

  2. Department of Computer Engineering, University of Brescia, Brescia, Italy

    Anisa Rula

  3. School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA

    Jodi Schneider

  4. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Ilaria Tiddi

  5. Bush House, Strand Campus, King’s College London, London, UK

    Elena Simperl

  6. Textkernel BV, Amsterdam, The Netherlands

    Panos Alexopoulos

  7. Elsevier BV, Amsterdam, The Netherlands

    Rinke Hoekstra

  8. FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Eggenstein-Leopoldshafen, Germany

    Mehwish Alam

  9. Department of Computer Science, KU Leuven, Sint-Katelijne-Waver, Belgium

    Anastasia Dimou

  10. Department of Computer Science, Aalto University, Espoo, Finland

    Minna Tamper

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Beer, A., Brunet, M., Srivastava, V., Vidal, ME. (2022). Leibniz Data Manager – A Research Data Management System. In: Groth, P., et al. The Semantic Web: ESWC 2022 Satellite Events. ESWC 2022. Lecture Notes in Computer Science, vol 13384. Springer, Cham. https://doi.org/10.1007/978-3-031-11609-4_14

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