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FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units

Author

Listed:
  • Koenraad De Smedt

    (Department of Linguistic, Literary and Aesthetic Studies, University of Bergen, P.O Box 7800, 5020 Bergen, Norway)

  • Dimitris Koureas

    (International Biodiversity Infrastructures, Naturalis Biodiversity Center, P.O. Box 9517, 2300 RA Leiden, The Netherlands)

  • Peter Wittenburg

    (Max Planck Computing and Data Facility, Max-Planck-Gesellschaft, Gießenbachstraße 2, 85748 Garching, Germany)

Abstract

Data science is facing the following major challenges: (1) developing scalable cross-disciplinary capabilities, (2) dealing with the increasing data volumes and their inherent complexity, (3) building tools that help to build trust, (4) creating mechanisms to efficiently operate in the domain of scientific assertions, (5) turning data into actionable knowledge units and (6) promoting data interoperability. As a way to overcome these challenges, we further develop the proposals by early Internet pioneers for Digital Objects as encapsulations of data and metadata made accessible by persistent identifiers. In the past decade, this concept was revisited by various groups within the Research Data Alliance and put in the context of the FAIR Guiding Principles for findable, accessible, interoperable and reusable data. The basic components of a FAIR Digital Object (FDO) as a self-contained, typed, machine-actionable data package are explained. A survey of use cases has indicated the growing interest of research communities in FDO solutions. We conclude that the FDO concept has the potential to act as the interoperable federative core of a hyperinfrastructure initiative such as the European Open Science Cloud (EOSC).

Suggested Citation

  • Koenraad De Smedt & Dimitris Koureas & Peter Wittenburg, 2020. "FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units," Publications, MDPI, vol. 8(2), pages 1-17, April.
    • Handle: RePEc:gam:jpubli:v:8:y:2020:i:2:p:21-:d:344422
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    References listed on IDEAS

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    3. Lindell Bromham & Russell Dinnage & Xia Hua, 2016. "Interdisciplinary research has consistently lower funding success," Nature, Nature, vol. 534(7609), pages 684-687, June.
    4. Lutz Bornmann & Rüdiger Mutz, 2015. "Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2215-2222, November.
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    Cited by:

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    2. Jan Schweikert & Karl-Uwe Stucky & Wolfgang Süß & Veit Hagenmeyer, 2023. "A Photovoltaic System Model Integrating FAIR Digital Objects and Ontologies," Energies, MDPI, vol. 16(3), pages 1-21, February.
    3. Henrik tom Wörden & Florian Spreckelsen & Stefan Luther & Ulrich Parlitz & Alexander Schlemmer, 2024. "Mapping Hierarchical File Structures to Semantic Data Models for Efficient Data Integration into Research Data Management Systems," Data, MDPI, vol. 9(2), pages 1-15, January.

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