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Conceptualization, design and management of decentralized platforms and federated data spaces

The following employees should be contacted primarily: Tim Schurig or Arthur Kari will provide support for the following key topics:

  • Conceptualization, design and management of public data spaces and emerging ecosystems
  • Properties, design principles and special features in the design of public (health) data spaces (with reference to the European Health Data Space (EHDS) Regulation Proposal)
  • Interests, requirements and expectations regarding the functions of the provider of a (health) data room (e.g. with regard to private-public partnerships)
  • Designing the conflict of objectives between data sharing and data ownership (data user and data holder) of federated public data spaces - consideration of various governance aspects
  • (Change in) the tasks and functions of the providers of public data spaces over the typical development course (time-varying strategy options)
  • Comparison of the governance functions of traditional (multi-sided) platforms and federated public data spaces (e.g. based on Gaia-X).
  • Hurdles and tensions between providers and complementors of exemplary platform provider models in private digital platforms and public (health) data spaces
  • (Preliminary) analysis of the design of the integration process of innovative complementors in growing data spaces
  • Business models and/or exploitation strategies for health applications in federated data spaces (e.g. clinical companion, personalized health, secondary use of health data and data wallet applications based on stakeholder-differentiated acceptance analyses)
  • Development of digital applications (through complementors) according to the DSR approach to achieve Health-X and Gaia-X goals
  • Interoperability of federated data spaces: Design of an IT artifact according to the DSR approach, e.g.:
    • the interoperable integration of healthcare applications
    • for measuring data quality based on an interoperability maturity level
  • Various data trust models (and their feasibility in federated data spaces)
  • Incentive mechanisms for sharing data and existing barriers to sharing data, particularly in private sector organizations (facilitated by funded data spaces to reduce barriers that currently exist?)
  • Organizational data culture and federated data spaces
Competence Center E-Commerce
Entrepreneurial Network University (ENU)
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Department Information Systems