Stäbler, MaximilianMaximilianStäblerGuggenberger, Tobias MoritzTobias MoritzGuggenbergerWang, DanDanDanDanWangMrasek, RichardRichardMrasekKöster, FrankFrankKösterLangdon, ChrisChrisLangdon2025-07-092025-07-092024https://publica.fraunhofer.de/handle/publica/48937710.5220/00129167000038252-s2.0-85217176677This paper tackles the challenge of semantic interoperability in the ever-evolving data management and sharing landscape, crucial for integrating diverse data sources in cross-domain use cases. Our comprehensive approach, informed by an extensive literature review, focus-group discussions and expert insights from seven professionals, led to the formulation of six innovative design principles for interoperability tools in Data Spaces. These principles, derived from key meta-requirements identified through semi-structured interviews in a focus group, address the complexities of data heterogeneity and diversity. They offer a blend of automated, scalable, and resilient strategies, bridging theoretical and practical aspects to provide actionable guidelines for semantic interoperability in contemporary data ecosystems. This research marks a significant contribution to the domain, setting a new design approach for Data Space integration and management.enData EcosystemData SpacesDesign PrinciplesSemantic Interoperabilityconference paper