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Joining a dataspace is supposed to unlock data, not bury participants in decisions. Yet for many organisations the first encounter with a federated environment looks less like an open door and more like a wall of questions. Which modules do I actually need? Are my two dataspaces even compatible for the workflow I have in mind? What does the regulation require of me before I share a single record? And once I have the answers, how do I configure everything correctly without a s

How do you get farmers, processors, public institutions, and environmental agencies to share data, when competitive sensitivity, power asymmetries, and data sovereignty concerns stand in the way? In Slovenia's Pomurje region, the DIH AGRIFOOD Data Space (DADS) has been answering that question in practice, as part of the Horizon Europe DATA4FOOD project and in direct collaboration with the DS2 project. The Slovenian use case within DS2 focuses on air quality monitoring across

Sharing data effectively is not a technical challenge, it’s a socio-technical challenge that requires blending human trust, legal frameworks, and digital architecture. Over the years, the drive to securely and fairly share data among organizations and individuals has led to the creation of several distinct inter-organisational data sharing models. Below is presented the current data economy landscape, the pros and cons, and why one model is rising to the top. Data Trusts act