The Data Space Canvas: A Framework For Structuring Business Models In Data Spaces Zerbin, Julian Koldewey, Christian Dumitrescu, Roman data ecosystems business model design science resource orchestration theory data sharing Data Spaces are establishing themselves as a decentralized alternative for sovereign data sharing across organizations. However, their adoption faces significant challenges, particularly the lack of proven business models that encourage participation and value creation. A data space business model captures value differently than either traditional business models or platform business models. This paper addresses this challenge by developing the Data Space Canvas, a structured framework for designing and aligning business models in data spaces consisting of nine building blocks. The canvas was developed following the design science research methodology. The modular and role-specific structure of the Data Space Canvas facilitates shared understanding and supports business model development across participants. This research contributes a practical tool that enables organizations to conceptualize, communicate, and refine their role and business model in data spaces. 2026 info:eu-repo/semantics/conferenceObject doc-type:conferenceObject text http://purl.org/coar/resource_type/c_5794 https://ris.uni-paderborn.de/record/66072 Zerbin J, Koldewey C, Dumitrescu R. The Data Space Canvas: A Framework For Structuring Business Models In Data Spaces. In: <i>ECIS 2026 Proceedings</i>. ; 2026. eng info:eu-repo/semantics/closedAccess