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This study introduces models for data space systems, focusing on collaboration networks and contract-based data sharing. These models offer a foundational, technology-independent introduction for developing innovative data space solutions.

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Area of Science:

  • Computer Science
  • Information Systems

Background:

  • Data space systems are crucial for secure and efficient data exchange.
  • Existing reference models provide a basis but require clear, introductory conceptualizations.

Purpose of the Study:

  • To present a use case and logical architecture model for data space systems.
  • To provide a technology-independent foundation for data space implementation specifications.
  • To offer a simple and explainable introduction to data space systems.

Main Methods:

  • Development of a use case model and a logical architecture model.
  • Analysis from user and operator perspectives, detailing functionalities and abstract connections.
  • Validation against established data space reference models (IDSA, GAIA-X, Data Space Support Centre).

Main Results:

  • The proposed models clearly define core features like collaboration networks and contract-based data sharing.
  • Modeled core features align with technical specifications of existing data space systems.
  • The models serve as an accessible introduction, fostering innovative solutions.

Conclusions:

  • The presented models offer a validated, technology-independent framework for data space systems.
  • This work facilitates a deeper understanding and encourages novel development in data space technologies.
  • The models support developers in creating innovative data space solutions.