Deshmukh, RohitRohitDeshmukhCollarana Vargas, DiegoDiegoCollarana VargasGelhaar, JoshuaJoshuaGelhaarTheissen-Lipp, JohannesJohannesTheissen-LippLange-Bever, ChristophChristophLange-BeverArnold, Benedikt TobiasBenedikt TobiasArnoldCurry, EdwardEdwardCurryDecker, StefanStefanDecker2024-09-242024-09-242024https://publica.fraunhofer.de/handle/publica/4755512-s2.0-85196323586Dataspaces are regarded as a standardized solution for sharing data in a trusted way. However, providing and sharing high-quality data across dataspaces poses several scientific and technical challenges, opening new research avenues. Developing governance models and technologies for supporting cross-domain integration of data and services from the existing single-domain dataspaces represents a significant challenge. In this vision paper, we discuss the challenges for enabling next-generation dataspaces and propose an innovative approach that aims at developing a vision and identifying requirements and building blocks for next-generation dataspaces, followed by defining a roadmap and practical migration paths for the existing dataspaces towards the next-generation dataspaces.enAICross-Domain DataspacesInteroperabilityLarge Language ModelsSemantic Interoperabilityconference paper