Sharing Business Data Securely Insights from the European Gaia-X Project on Technical and Economic Roles Enabling Federated Data Spaces
Main Article Content
Keywords
Data sharing, federated data space, organisational role, Gaia-X, digital federation
Abstract
Federated data spaces (FDSs) represent an innovative approach to foster sovereign and interoperable data sharing across various business domains, promising substantial opportunities for value creation. The European Gaia-X initiative has emerged as a key driver in promoting FDS developments, particularly through its emphasis on data sovereignty and collaborative innovation. Effective design and operation of FDSs require a wide array of skills, expertise, services and technological components, creating a complex landscape for participating organisations. In this paper, we explore the technical and economic roles necessary for the successful implementation of FDSs, focusing on insights derived from two mobility use cases. Through interviews with experts engaged in a Gaia-X project, we identify 39 distinct roles, which we further abstract into eight meta-roles. These roles illustrate the structure and dynamics of inter-organisational collaboration in FDSs. Our analysis contributes to existing knowledge by illuminating the inter-organisational networks in FDSs, with a specific focus on the roles that support technical integration and economic value generation.
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References
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Eggers, G., Fondermann, B., Maier, B., Ottradovetz, K., Pfrommer, J., Reinhardt, R., Rollin, H., Schmieg, A., Steinbuß, S., Trinius, P., Weiss, A., Weiss, C., & Wilfling, S. (2020). GAIA-X: Technical Architecture. Federal Ministry for Economic Affairs and Energy (BMWi). https://www.bmwk.de/Redaktion/EN/Publikationen/gaia-x-technical-architecture.pdf?__blob=publicationFile&v=1 (Retrieved on 13 November 2024)
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Golshanara, L., & Chomicki, J. (2020). Temporal data exchange. Information Systems, 87, 101414. https://doi.org/10.1016/j.is.2019.07.004
Heinbach, C., Beinke, J., Kammler, F., & Thomas, O. (2022). Data-driven forwarding: A typology of digital platforms for road freight transport management. Electronic Markets, 32(2), 807–828. https://doi.org/10.1007/s12525-022-00540-4
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Hutterer, A., & Krumay, B. (2022). Integrating Heterogeneous data in dataspaces – a systematic mapping study. Proceedings of Pacific Asia Conference on Information Systems (PACIS) 2022. 222. https://aisel.aisnet.org/pacis2022/222
Hutterer, A., & Krumay, B. (2024). The adoption of data spaces: Drivers toward federated data sharing. Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS) 2024 (pp. 4506–4515). https://hdl.handle.net/10125/106926
Hutterer, A., Krumay, B. & Mühlburger, M. (2023). What constitutes a dataspace? Conceptual clarity beyond technical aspects. In Proceedings of 29th Americas Conference on Information Systems (AMCIS) 2023. 5. https://aisel.aisnet.org/amcis2023/eco_systems/eco_systems/5
Jussen, I., Schweihoff, J., Dahms, V., Möller, F., & Otto, B. (2023). Data sharing fundamentals: Definition and characteristics. Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS) 2023 (pp. 3685–3694). https://hdl.handle.net/10125/103083
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Knight, L., & Harland, C. (2005). Managing supply networks: Organizational roles in network management. European Management Journal, 23(3), 281–292. https://doi.org/10.1016/j.emj.2005.04.006
Lee, S. U., Zhu, L., & Jeffery, R. (2019). Data governance decisions for platform cosystems. Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS) 2019 (pp. 6377–6386). https://hdl.handle.net/10125/60072
Lindman, J., Kinnari, T., & Rossi, M. (2016). Business roles in the emerging open-data ecosystem. IEEE Software, 33(5), 54–59. https://doi.org/10.1109/MS.2015.25
Maecker, D., Gösling, H., Heinbach, C., & Kammler, F. (2023). Exploring multi-agent systems for intermodal freight fleets: Literature-based justification of a new concept. Proceedings of the 18 Internationale Tagung Wirtschaftsinformatik (WI 2023) (pp. 1–17). https://aisel.aisnet.org/wi2023/97
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Mintzberg, H. (1973). The nature of managerial work. Harper & Row.
Mosch, P., Majocco, P., & Obermaier, R. (2023). Contrasting value creation strategies of industrial-IoT-platforms – a multiple case study. International Journal of Production Economics, 263, 1–14. https://doi.org/10.1016/j.ijpe.2023.108937
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Nagel, L., & Lycklama, D. (2022). How to build, run, and govern data spaces. In B. Otto, M. Ten Hompel, & S. Wrobel (Eds.), Designing Data Spaces (p. 17–28). Springer International Publishing. https://doi.org/10.1007/978-3-030-93975-5_2
Orlikowski, W. J. (2000). Using technology and constituting structures: A practice lens for studying technology in organizations. Organization Science, 11(4), 404–428. https://doi.org/10.1287/orsc.11.4.404.14600
Otto, B. (2022a). A federated infrastructure for European data spaces. Communications of the ACM, 65(4), 44–45. https://doi.org/10.1145/3512341
Otto, B. (2022b). The evolution of data spaces. In B. Otto, M. Ten Hompel, & S. Wrobel (Eds.), Designing Data Spaces. (p. 3–15). Springer International Publishing. https://doi.org/10.1007/978-3-030-93975-5_1
Otto, B., & Jarke, M. (2019). Designing a multi-sided data platform: Findings from the international data spaces case. Electronic Markets, 29(4), 561–580. https://doi.org/10.1007/s12525-019-00362-x
Otto, B., Ten Hompel, M., & Wrobel, S. (2022). Preface. In B. Otto, M. Ten Hompel, & S. Wrobel (Eds.), Designing Data Spaces. (pp. vi–viii). Springer International Publishing. https://doi.org/10.1007/978-3-030-93975-5
Papert, M., & Pflaum, A. (2017). Development of an ecosystem model for the realization of Internet of Things (IoT) services in supply chain management. Electronic Markets, 27(2), 175–189. https://doi.org/10.1007/s12525-017-0251-8
Parker, G., Van Alstyne, M., & Jiang, X. (2017). Platform cosystems: How developers invert the firm. MIS Quarterly, 41(1), 255–266. https://doi.org/10.25300/MISQ/2017/41.1.13
Pettenpohl, H., Spiekermann, M., & Both, J. R. (2022). International data spaces in a nutshell. In B. Otto, M. Ten Hompel, & S. Wrobel (Eds.), Designing Data Spaces (pp. 29–40). Springer International Publishing. https://doi.org/10.1007/978-3-030-93975-5_3
Reiberg, A., Niebel, C., & Kraemer, P. (2022). What Is a Data Space? [White paper]. Gaia-X Hub Germany. https://gaia-x-hub.de/wp-content/uploads/2023/11/GX-White-Paper-Data-Space.pdf (Retrieved on 15 November 2024)
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Dec 30, 2024
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Heinbach, C., Gessler, J., Rychlik, H., Stecenko, C., Wieker, H., & Schulz, W. H. (2024). Sharing Business Data Securely: Insights from the European Gaia-X Project on Technical and Economic Roles Enabling Federated Data Spaces. Journal of Telecommunications and the Digital Economy, 12(4), 66–84. https://doi.org/10.18080/jtde.v12n4.1037
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