Data Sovereignty - Requirements Analysis of Manufacturing Use Cases

  1. Larrinaga, Felix 5
  2. Simon Dalmolen 10
  3. Michaela Drost 4
  4. Farshad Firouzi 9
  5. Christoph Schlüter Langdon 4
  6. Angelo Marguglio 8
  7. Koki Mitani 5
  8. Kazuo Nakashima 2
  9. Kazuhisa Otsuka 2
  10. Marc Riedlinger 7
  11. Bastian Rössl 7
  12. Akira Sakaino 5
  13. Ljiljana Stojanovic 1
  14. Andreas Teuscher 3
  15. Michel Iñigo Ulloa 6
  16. Friedrich Volz 1
  1. 1 Fraunhofer IOSB
  2. 2 RRI
  3. 3 SICK AG
  4. 4 Deutsche Telekom T-Systems
  5. 5 Universidad de Mondragón/Mondragon Unibertsitatea
    info

    Universidad de Mondragón/Mondragon Unibertsitatea

    Mondragón, España

    ROR https://ror.org/00wvqgd19

  6. 6 MONDRAGON Corporation
  7. 7 Fraunhofer IOSB-INA
  8. 8 Engineering Ingegneria Informatica S.p.A.
  9. 9 Advaneo GmbH
  10. 10 TNO
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Editorial: International Data Spaces Association

Año de publicación: 2022

Tipo: Libro

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Resumen

The increasing digitization in the manufacturing industry within and between production companies raises the question of secure and interoperable data sharing between companies in virtual enterprises or between enterprises that work together for joint businesses. Although there is a wish to share data, there is a clear request to keep the control over the usage of data by the distributing entity throughout the whole usage phase of that data by other entities. However, data sovereignty and especially data usage control is a complex and multi-faceted aspect of data sharing infrastructure and difficult to enforce in a truly distributed environment. Hence, there is a need to analyze the concrete needs for data usage control and to set priorities motivated by user requirements.