Toward Advanced Query Processing in Dataspaces

Dataspaces aim at enabling inter-organizational data exchange, emphasizing interoperability and data sovereignty of data assets. While current implementations focus on providing a foundational framework to enable secure, standards-based data sharing and sovereignty, they lack the robust query processing features needed to address emerging demands in distributed and federated data ecosystems. We present a vision for advancing dataspace technology by incorporating sophisticated query processing mechanisms and integrating features that ensure data sovereignty within traditional data management platforms such as data lakes.