In this 4-hour hands-on workshop students will learn why and how dataspaces enable trustworthy, secure and sovereign data sharing across organizations — especially relevant for energy systems and industrial/manufacturing ecosystems. Dataspaces follow the idea that data owners keep control over how data is used (“data sovereignty”) while still enabling value creation through collaboration. We will combine tangible examples (e.g., energy flexibility / grid & asset data, manufacturing sensor data) with practical coding exercises: participants will deploy a minimal dataspace setup using Eclipse Dataspace Components (EDC) and run an end-to-end flow (publish asset → discover via catalog → contract negotiation → controlled data transfer). EDC is designed as a reusable framework for interoperable dataspaces and is aligned with Gaia-X / IDSA specifications. Finally, we connect the shared data to a lightweight AI pipeline and API to demonstrate how dataspaces support AI use cases without losing governance and control — reflecting current ecosystem initiatives like Manufacturing-X and the energy data-X. Participants are invited to bring their own Problems or APIs to offer their data and application in the tests dataspace.