@inproceedings{63754,
  abstract     = {{Data spaces are receiving an emerging interest in Information Systems Research and industry practice. They are central to many European research initiatives and shape the data economy in Industry 4.0. Generally, they aim to create secure environments for cross-organizational data management and sharing. Currently, there is considerable interest in developing new data spaces in Industry 4.0, also accelerated through regulatory changes. However, key questions about what precisely characterizes a data space in Industry 4.0 remain unresolved. Against this backdrop, we build a taxonomy of data spaces in the Industry 4.0 context. We identified nine distinctive dimensions and 40 corresponding characteristics among the 19 data spaces analyzed. The taxonomy enables clearer classification and nomenclature of data spaces in this context. This short paper will ignite planned further research on data spaces in Industry 4.0 and contribute to a conceptualization of a taxonomic theory for interested researchers.}},
  author       = {{Werth, Oliver and Koldewey, Christian and Uslar, Mathias and Zerbin, Julian}},
  booktitle    = {{Lecture Notes in Business Information Processing}},
  isbn         = {{9783032145178}},
  issn         = {{1865-1348}},
  keywords     = {{Industry 4.0, Taxonomy, Data spaces, Characterization}},
  location     = {{Stuttgart, Germany}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding}}},
  doi          = {{10.1007/978-3-032-14518-5_3}},
  year         = {{2026}},
}

@inproceedings{66073,
  abstract     = {{Data-driven business models are transforming industries, yet small and medium-sized enterprises (SMEs) often lack the resources to participate in emerging data sharing initiatives. Data spaces provide a federated infrastructure for sovereign data sharing, but SME participation remains limited due to complex onboarding processes involving technical, organizational, legal, and economic barriers. Data trustees have been proposed as intermediaries to facilitate data sharing, but their specific role in supporting SME onboarding has not been systematically explored. Here we present a reference process for SME data space onboarding and derive four design principles, structured along the TELO framework, describing how data trustees can address these barriers. Our findings reveal that SMEs require comprehensive support throughout the onboarding journey, with particular emphasis on business case development. The results offer actionable guidance for data space operators and policymakers seeking to broaden ecosystem participation as the European Union advances its data strategy.}},
  author       = {{Hupperz, Marius Johannes and Zerbin, Julian and Kunert, Julia}},
  booktitle    = {{AMCIS 2026 Proceedings}},
  keywords     = {{Data spaces, data trustees, SME Onboarding, data sharing}},
  location     = {{Reno - Nevada}},
  title        = {{{Toward Design Principles for Data Trustee-Supported SME Onboarding in Data Spaces}}},
  year         = {{2026}},
}

@article{35728,
  abstract     = {{Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.}},
  author       = {{Beverungen, Daniel and Hess, Thomas and Köster, Antonia and Lehrer, Christiane}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Digital transformation, Public data spaces, Digital platforms, GAIA-X}},
  pages        = {{493--501}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{From private digital platforms to public data spaces: implications for the digital transformation}}},
  doi          = {{10.1007/s12525-022-00553-z}},
  volume       = {{32}},
  year         = {{2022}},
}