@inproceedings{66072,
  abstract     = {{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.}},
  author       = {{Zerbin, Julian and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{ECIS 2026 Proceedings}},
  keywords     = {{data ecosystems, business model, design science, resource orchestration theory, data sharing}},
  location     = {{Mailand}},
  title        = {{{The Data Space Canvas: A Framework For Structuring Business Models In Data Spaces}}},
  year         = {{2026}},
}