Secure, Trusted, Privacy-Protected Data Exchange in an Edge-Cloud Continuum Environment

Data-driven industrial value networks increasingly rely on creating and maintaining data value ecosystems, complete with trusted sharing and effective distributed data processing. However, challenges arise due to diverse use cases, large data volumes, data value and quality maintenance, and data source heterogeneity. To enhance data sharing, initiatives like International Data Spaces (IDS) propose enablers for trusted data sharing, allowing data owners to determine sovereignty basis. This chapter addresses the main challenges related to the evolution of sovereign Data Spaces in three critical dimensions: (1) improving their data reuse and exchangeability; (2) defining common models to increase data interoperability: and (3) ensure high data quality. For these reasons, this approach goes beyond the traditional Data Space technologies to propose “Data as a Product” (DaaP) as the core enabling concept to facilitate the implementation of digital continuity across Data Spaces, AI/ML/Data pipelines, Digital Twins workflows and digital threads. This chapter will provide an overview of the state of the art on strategies for Digital 4.0 Continuum. Finally, the Horizon Europe RE4DY project as a DaaP use case will be introduced.