---
_id: '66072'
abstract:
- lang: eng
  text: 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:
- first_name: Julian
  full_name: Zerbin, Julian
  id: '51711'
  last_name: Zerbin
  orcid: 0009-0001-1003-7558
- first_name: Christian
  full_name: Koldewey, Christian
  id: '43136'
  last_name: Koldewey
  orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
  full_name: Dumitrescu, Roman
  id: '16190'
  last_name: Dumitrescu
citation:
  ama: '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.'
  apa: 'Zerbin, J., Koldewey, C., &#38; Dumitrescu, R. (2026). The Data Space Canvas:
    A Framework For Structuring Business Models In Data Spaces. <i>ECIS 2026 Proceedings</i>.
    The 34th European Conference on Information System (ECIS), Mailand.'
  bibtex: '@inproceedings{Zerbin_Koldewey_Dumitrescu_2026, title={The Data Space Canvas:
    A Framework For Structuring Business Models In Data Spaces}, booktitle={ECIS 2026
    Proceedings}, author={Zerbin, Julian and Koldewey, Christian and Dumitrescu, Roman},
    year={2026} }'
  chicago: 'Zerbin, Julian, Christian Koldewey, and Roman Dumitrescu. “The Data Space
    Canvas: A Framework For Structuring Business Models In Data Spaces.” In <i>ECIS
    2026 Proceedings</i>, 2026.'
  ieee: 'J. Zerbin, C. Koldewey, and R. Dumitrescu, “The Data Space Canvas: A Framework
    For Structuring Business Models In Data Spaces,” presented at the The 34th European
    Conference on Information System (ECIS), Mailand, 2026.'
  mla: 'Zerbin, Julian, et al. “The Data Space Canvas: A Framework For Structuring
    Business Models In Data Spaces.” <i>ECIS 2026 Proceedings</i>, 2026.'
  short: 'J. Zerbin, C. Koldewey, R. Dumitrescu, in: ECIS 2026 Proceedings, 2026.'
conference:
  end_date: 2026-06-17
  location: Mailand
  name: The 34th European Conference on Information System (ECIS)
  start_date: 2026-06-14
date_created: 2026-06-29T07:40:42Z
date_updated: 2026-10-13T08:03:06Z
department:
- _id: '563'
keyword:
- data ecosystems
- business model
- design science
- resource orchestration theory
- data sharing
language:
- iso: eng
main_file_link:
- url: 'https://aisel.aisnet.org/ecis2026/datasc_isresearch/datasc_isresearch/4 '
publication: ECIS 2026 Proceedings
publication_status: published
quality_controlled: '1'
status: public
title: 'The Data Space Canvas: A Framework For Structuring Business Models In Data
  Spaces'
type: conference
user_id: '51711'
year: '2026'
...