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Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study

Author

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  • Claire Jean-Quartier

    (Institute for Data Science and Interactive Systems, Graz University of Technology, 8010 Graz, Austria)

  • Miguel Rey Mazón

    (Institute for Data Science and Interactive Systems, Graz University of Technology, 8010 Graz, Austria)

  • Mario Lovrić

    (Know-Center GmbH, 8010 Graz, Austria)

  • Sarah Stryeck

    (Institute for Data Science and Interactive Systems, Graz University of Technology, 8010 Graz, Austria
    Know-Center GmbH, 8010 Graz, Austria)

Abstract

Research and development are facilitated by sharing knowledge bases, and the innovation process benefits from collaborative efforts that involve the collective utilization of data. Until now, most companies and organizations have produced and collected various types of data, and stored them in data silos that still have to be integrated with one another in order to enable knowledge creation. For this to happen, both public and private actors must adopt a flexible approach to achieve the necessary transition to break data silos and create collaborative data sharing between data producers and users. In this paper, we investigate several factors influencing cooperative data usage and explore the challenges posed by the participation in cross-organizational data ecosystems by performing an interview study among stakeholders from private and public organizations in the context of the project IDE@S, which aims at fostering the cooperation in data science in the Austrian federal state of Styria. We highlight technological and organizational requirements of data infrastructure, expertise, and practises towards collaborative data usage.

Suggested Citation

  • Claire Jean-Quartier & Miguel Rey Mazón & Mario Lovrić & Sarah Stryeck, 2022. "Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study," Data, MDPI, vol. 7(2), pages 1-14, January.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:2:p:20-:d:737110
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    References listed on IDEAS

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    2. Marco Minghini & Alexander Kotsev & Carlos Granell, 2022. "A European Approach to the Establishment of Data Spaces," Data, MDPI, vol. 7(8), pages 1-5, August.

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