Trustworthy Data Exchange: Leveraging Linked Data for Enhanced IDS Certification

Abstract

In today’s data-driven business environments, ensuring secure and controlled data sharing is essential. However, existing solutions often lack mechanisms to maintain data sovereignty and establish trust among ecosystem participants. This paper presents a novel approach to the establishment of International Data Spaces (IDS) certification, focusing on the use of a formal information model and Linked Data. The proposed certification framework leverages the formal information model to define the structure and semantics of the certification process. It enables machine-recognizable data representations, ensuring interoperability and facilitating automated processing of certification information. Using Linked Data principles, the framework provides an exact description of system capabilities and requirements. This increases transparency and facilitates more reliable and trustworthy data exchange within IDS.