Fraunhofer Institute for Software and Systems EngineeringData management is the foundation of digital value creation and plays a central role in the innovation and competitiveness of modern companies. In an increasingly networked and data-driven world, companies are faced with the challenge of managing ever larger and more heterogeneous data volumes efficiently, securely, and confidently. Conventional approaches often reach their limits, especially when it comes to interoperability, data protection, data quality, and the flexible integration of new data sources. Our research area is dedicated to developing and integrating innovative methods and technologies that give companies full control over their data and strengthen digital sovereignty.
Data Management
Research on data spaces, Eclipse Dataspace Components (EDC), Digital Product Pass (DPP), and data space architectures.
A particular focus is on the development of data space technologies that ensure secure, standardized, and trustworthy data exchange between partners and within ecosystems. We support companies and IT service providers in integrating data space solutions into their business processes, developing new data-based services, and thus tapping into additional value creation potential.
Through active participation in strategic initiatives such as Gaia-X and the International Data Spaces Association, we are driving forward the standardization and development of sustainable, interoperable data ecosystems that benefit both companies and society. Our holistic approach includes the development of data governance models, the performance of data assessments, the development of process models, and the support of proof-of-concepts for innovative data management tools. We place particular emphasis on practical implementation and close cooperation with partners from industry and research in order to create solutions that meet the real requirements of the market.
Our research results show that the use of modern data management technologies can significantly increase data availability and quality, reduce integration efforts, and lay the foundation for data-driven innovations. In this way, we make an important contribution to strengthening the competitiveness of our partners and shaping the digital transformation in a sustainable manner.
Latest publications
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2025 | Introduction to the Minitrack on Federated Industrial Platform Ecosystems: Technologies, Business Models, and Data-Driven Artifacts Valk, Hendrik van der; Duparc, Estelle; Große, Nick; Hunker, Joachim |
Konferenzbeitrag Conference Paper |
| 2025 | Trust Me, I’m an Intermediary! Exploring Data Intermediation Services Schweihoff, Julia Christina; Jussen, Ilka; Möller, Frederik |
Konferenzbeitrag Conference Paper |
| 2025 | Enhancing Data Governance in Data Trustees Through ODRL-Based End-of-Life Policies Steinert, Michael; Tebernum, Daniel |
Konferenzbeitrag Conference Paper |
| 2025 | Tensions in implementing a circular economy - Empirical insights from the automotive industry Hoppe, Christoph; Schoormann, Thorsten; Winkelmann, Stephanie; Möller, Frederik |
Zeitschriftenaufsatz Journal Article |
| 2025 | Diagnosis decoded: a taxonomy and natural language processing analysis of the diagnosis section in German hospital discharge summaries Frings, Julian; Rust, Paul; Jede, Felix; Meister, Sven; Prinz, Christian; Fehring, Leonard |
Zeitschriftenaufsatz Journal Article |
| 2025 | Supporting Software Engineers in IT Security and Privacy through Automated Knowledge Discovery Ehl, Marco; Ahmadian, Amir Shayan; Großer, Katharina; Elsofi, Duaa Adel Ali; Herrmann, Marc; Specht, Alexander; Schneider, Kurt; Jürjens, Jan |
Konferenzbeitrag Conference Paper |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica
Examples from our projects
Our research projects are developed in close collaboration with industry partners. They are market- and demand-oriented, with the aim of providing applicable solutions for the cloud edge ecosystem.
The Data Space Research Lab: Open initiative for the further development of existing Eclipse Dataspace Components from Huawei and Fraunhofer ISST
FAIR Data Spaces – Building a joint cloud-based data space for industry and science
The FAIR Data Spaces project aims to build a common cloud-based data space for business and science by merging the two initiatives "Gaia-X" and "National Research Data Infrastructure (NFDI)". "FAIR" stands for the guiding prin-ciples for the responsible management of research data. According to these principles, research data should be findable, accessible, interoperable and reusable. The project aims to identify and exploit synergies between the two initiatives Gaia-X and NFDI and to bring the two initiatives closer together in terms of content. The project also aims to promote and demonstrate the sovereign exchange of data between industry and science at both national and European level in concrete applications and fields of work. For a wide range of actors, especially from the economy, added values can be created and demonstrated through the exchange of data.
