URANOS-X Investigation of requirements, solution patterns and methods for enabling manufacturing companies for GAIA-X


Initial situation

In manufacturing, data is increasingly advancing to become a strategic resource. Data makes it possible to create digital products and services and thus realize new value propositions. Increasingly, data is being exchanged across company boundaries. This results in so-called data ecosystems in which diverse players contribute their data to create benefits for themselves and the entire ecosystem. GAIA-X makes a significant contribution by enabling companies, for example, to make data available, merge and share it securely and confidently using standardized, interoperable interfaces. However, for manufacturing companies and especially SMEs, a number of challenges arise in the context of GAIA-X, which can be technical, organizational or human. Companies need to be empowered to identify and evaluate GAIA-X opportunities, design promising applications, and transform themselves into GAIA-X providers.


The URANOS-X research project provides a significant contribution to the empowerment of manufacturing companies for the use of GAIA-X. To date, there are only a limited number of leaders who can provide outstanding knowledge about GAIA-X and its functions. At the same time, there is a great need for knowledge among those stakeholders for whom entry into GAIA-X opens up promising business options. Other social groups, such as trade unions, also need to be informed about potentials and risks.

The overarching goal of the research project is to develop requirements, transferable solution patterns and methods for enabling manufacturing companies for GAIA-X. This requires a development toolkit. This requires a development kit that integrates the aforementioned stakeholders and delivers custom-fit solutions. It should be based on the knowledge of the leaders and enable the so-called learners and listeners to get started with GAIA-X.


Ziel des Forschungsprojekts ‚URANOS-X‘ ist es, produzierende Unternehmen mit geeigneten Methoden zu befähigen, ‚GAIA-X‘ sinnvoll zu verwenden.

Key Facts

Project duration:
10/2022 - 09/2024
Funded by:
Projektliste HNI
Webseite von FIR zum Forschungsprojekt

More Information

Principal Investigators

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Prof. Dr.-Ing. Roman Dumitrescu

Advanced Systems Engineering / Heinz Nixdorf Institut

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Cooperating Institutions

Karlsruher Institut für Technologie (KIT)

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OFFIS - Institut für Informatik (OFF)

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Forschungsinstitut für Rationalisierung (FIR) an der RWTH Aachen

Cooperating Institution

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