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A Survey of Dataspace Connector Implementations

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arxiv 2309.11282 v2 pith:7BWXR3EE submitted 2023-09-20 cs.ET

Tobias Dam , Lukas Daniel Klausner , Sebastian Neumaier , Torsten Priebe This is my paper
classification cs.ET
keywords implementationsdataconnectorcontroldataspacepoliciesusageaims
verification ladder T0 review T1 audit T2 compute T3 formal
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The concept of dataspaces aims to facilitate secure and sovereign data exchange among multiple stakeholders. Technical implementations known as "connectors" support the definition of usage control policies and the verifiable enforcement of such policies. This paper provides an overview of existing literature and reviews current open-source dataspace connector implementations that are compliant with the International Data Spaces (IDS) standard. To assess maturity and readiness, we review four implementations with regard to their architecture, underlying data model and usage control language.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation

    cs.CR 2025-07 reject novelty 2.0 of 10

    The paper is a literature review that classifies privacy-preserving AI techniques in dataspaces using a qualitative taxonomy of privacy, performance, and compliance ratings.

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