Autor: Christoph Heinbach

Federated Service Engineering

Federated Service Engineering

A development methodology for the realization of mobility applications in the Gaia-X decentralized data ecosystem
Christoph Heinbach, Michael Pahl, Oliver Thomas
The decentralized data ecosystem Gaia-X, which is currently under development, supports the future viability of the digital data economy in Europe. But how can relevant use cases be realized in Gaia-X from a service-oriented perspective? To answer this question, this article presents a methodology that describes a structured and interdisciplinary approach to service development in the ongoing Gaia-X 4 ROMS consortium research project [1]. In this project, federated services are realized in five processing steps on the basis of use cases. IT experts, software developers and industry users can leverage the model to efficiently coordinate the joint realization of use cases with Gaia-X and the goal of sovereign data exchange.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 40-47
How to Gaia-X?

How to Gaia-X?

Erik Konietzko, Cansu Tanrikulu, Florian Schwarz, Kai Lindow ORCID Icon, Christoph Heinbach, Henning Gösling, Oliver Thomas
How can organisations successfully participate in interoperable and decentralised data ecosystems? To answer this question, this paper presents a process model using the transport logistics industry as an example, which methodically describes the collaborative and interdisciplinary development of services in the decentralised federated data ecosystem Gaia-X [6]. The model supports evaluation and decision-making processes within the development of decentralised data ecosystems in practice and helps IT decision-makers and participating stakeholders to identify the relevant communication flows in a use case. It can be used independently for specific use cases, data spaces and connector technologies and ensures that the communication and alignment of individual development statuses in a decentrally organised framework is comprehensible and understandable for the overall context.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 54-58 | DOI 10.30844/IM_22-6_54-58