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Emerging technologies such as the Industrial Internet of Things (IIoT), hyper-connected societies, and cyber-physical systems in Industry 5.0 (I5.0) have increased data volume substantially. Conventionally, the data process and analysis are carried out within the boundaries of organizations that can be perceived as edges closer to the data sources, resulting in the generated values stuck within the boundaries of organizations. However, this data can enable a cross-organizational data pool, based on which lots of semantics context-driven services can be developed and monetized to harness the collective power of data. This is precisely what a Dataspace (DS) leveraging distributed edge-coordinated ecosystem can offer to build a value chain on shared services and reusable data across organizations, domains, systems and devices. However, various challenges need to be addressed to achieve the same, such as …