---
_id: '63754'
abstract:
- lang: eng
  text: 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:
- first_name: Oliver
  full_name: Werth, Oliver
  last_name: Werth
- first_name: Christian
  full_name: Koldewey, Christian
  id: '43136'
  last_name: Koldewey
  orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Mathias
  full_name: Uslar, Mathias
  last_name: Uslar
- first_name: Julian
  full_name: Zerbin, Julian
  id: '51711'
  last_name: Zerbin
citation:
  ama: 'Werth O, Koldewey C, Uslar M, Zerbin J. What Characterizes Data Spaces in
    Industry 4.0? Towards a Better Understanding. In: <i>Lecture Notes in Business
    Information Processing</i>. Springer Nature Switzerland; 2026. doi:<a href="https://doi.org/10.1007/978-3-032-14518-5_3">10.1007/978-3-032-14518-5_3</a>'
  apa: Werth, O., Koldewey, C., Uslar, M., &#38; Zerbin, J. (2026). What Characterizes
    Data Spaces in Industry 4.0? Towards a Better Understanding. <i>Lecture Notes
    in Business Information Processing</i>. 16th International Conference on Software
    Business (ICSOB 2025), Stuttgart, Germany. <a href="https://doi.org/10.1007/978-3-032-14518-5_3">https://doi.org/10.1007/978-3-032-14518-5_3</a>
  bibtex: '@inproceedings{Werth_Koldewey_Uslar_Zerbin_2026, place={Cham}, title={What
    Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding}, DOI={<a
    href="https://doi.org/10.1007/978-3-032-14518-5_3">10.1007/978-3-032-14518-5_3</a>},
    booktitle={Lecture Notes in Business Information Processing}, publisher={Springer
    Nature Switzerland}, author={Werth, Oliver and Koldewey, Christian and Uslar,
    Mathias and Zerbin, Julian}, year={2026} }'
  chicago: 'Werth, Oliver, Christian Koldewey, Mathias Uslar, and Julian Zerbin. “What
    Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding.” In
    <i>Lecture Notes in Business Information Processing</i>. Cham: Springer Nature
    Switzerland, 2026. <a href="https://doi.org/10.1007/978-3-032-14518-5_3">https://doi.org/10.1007/978-3-032-14518-5_3</a>.'
  ieee: 'O. Werth, C. Koldewey, M. Uslar, and J. Zerbin, “What Characterizes Data
    Spaces in Industry 4.0? Towards a Better Understanding,” presented at the 16th
    International Conference on Software Business (ICSOB 2025), Stuttgart, Germany,
    2026, doi: <a href="https://doi.org/10.1007/978-3-032-14518-5_3">10.1007/978-3-032-14518-5_3</a>.'
  mla: Werth, Oliver, et al. “What Characterizes Data Spaces in Industry 4.0? Towards
    a Better Understanding.” <i>Lecture Notes in Business Information Processing</i>,
    Springer Nature Switzerland, 2026, doi:<a href="https://doi.org/10.1007/978-3-032-14518-5_3">10.1007/978-3-032-14518-5_3</a>.
  short: 'O. Werth, C. Koldewey, M. Uslar, J. Zerbin, in: Lecture Notes in Business
    Information Processing, Springer Nature Switzerland, Cham, 2026.'
conference:
  end_date: 2025-11-26
  location: Stuttgart, Germany
  name: 16th International Conference on Software Business (ICSOB 2025)
  start_date: 2025-11-24
date_created: 2026-01-27T11:56:10Z
date_updated: 2026-03-18T07:12:49Z
department:
- _id: '563'
doi: 10.1007/978-3-032-14518-5_3
keyword:
- Industry 4.0
- Taxonomy
- Data spaces
- Characterization
language:
- iso: eng
place: Cham
publication: Lecture Notes in Business Information Processing
publication_identifier:
  isbn:
  - '9783032145178'
  - '9783032145185'
  issn:
  - 1865-1348
  - 1865-1356
publication_status: published
publisher: Springer Nature Switzerland
quality_controlled: '1'
status: public
title: What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding
type: conference
user_id: '51711'
year: '2026'
...
---
_id: '66073'
abstract:
- lang: eng
  text: 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:
- first_name: Marius Johannes
  full_name: Hupperz, Marius Johannes
  last_name: Hupperz
- first_name: Julian
  full_name: Zerbin, Julian
  id: '51711'
  last_name: Zerbin
  orcid: 0009-0001-1003-7558
- first_name: Julia
  full_name: Kunert, Julia
  last_name: Kunert
citation:
  ama: 'Hupperz MJ, Zerbin J, Kunert J. Toward Design Principles for Data Trustee-Supported
    SME Onboarding in Data Spaces. In: <i>AMCIS 2026 Proceedings</i>. ; 2026.'
  apa: Hupperz, M. J., Zerbin, J., &#38; Kunert, J. (2026). Toward Design Principles
    for Data Trustee-Supported SME Onboarding in Data Spaces. <i>AMCIS 2026 Proceedings</i>.
    America’s Conference on Information Systems (AMCIS) 2026, Reno - Nevada.
  bibtex: '@inproceedings{Hupperz_Zerbin_Kunert_2026, title={Toward Design Principles
    for Data Trustee-Supported SME Onboarding in Data Spaces}, booktitle={AMCIS 2026
    Proceedings}, author={Hupperz, Marius Johannes and Zerbin, Julian and Kunert,
    Julia}, year={2026} }'
  chicago: Hupperz, Marius Johannes, Julian Zerbin, and Julia Kunert. “Toward Design
    Principles for Data Trustee-Supported SME Onboarding in Data Spaces.” In <i>AMCIS
    2026 Proceedings</i>, 2026.
  ieee: M. J. Hupperz, J. Zerbin, and J. Kunert, “Toward Design Principles for Data
    Trustee-Supported SME Onboarding in Data Spaces,” presented at the America’s Conference
    on Information Systems (AMCIS) 2026, Reno - Nevada, 2026.
  mla: Hupperz, Marius Johannes, et al. “Toward Design Principles for Data Trustee-Supported
    SME Onboarding in Data Spaces.” <i>AMCIS 2026 Proceedings</i>, 2026.
  short: 'M.J. Hupperz, J. Zerbin, J. Kunert, in: AMCIS 2026 Proceedings, 2026.'
conference:
  end_date: 2026-08-22
  location: Reno - Nevada
  name: America’s Conference on Information Systems (AMCIS) 2026
  start_date: 2026-08-20
date_created: 2026-06-29T07:47:42Z
date_updated: 2026-10-13T08:02:50Z
department:
- _id: '563'
keyword:
- Data spaces
- data trustees
- SME Onboarding
- data sharing
language:
- iso: eng
main_file_link:
- url: 'https://aisel.aisnet.org/amcis2026/sigadit/sigadit/5 '
publication: AMCIS 2026 Proceedings
publication_status: published
quality_controlled: '1'
status: public
title: Toward Design Principles for Data Trustee-Supported SME Onboarding in Data
  Spaces
type: conference
user_id: '51711'
year: '2026'
...
---
_id: '35728'
abstract:
- lang: eng
  text: 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.
article_type: letter_note
author:
- first_name: Daniel
  full_name: Beverungen, Daniel
  id: '59677'
  last_name: Beverungen
- first_name: Thomas
  full_name: Hess, Thomas
  last_name: Hess
- first_name: Antonia
  full_name: Köster, Antonia
  last_name: Köster
- first_name: Christiane
  full_name: Lehrer, Christiane
  last_name: Lehrer
citation:
  ama: 'Beverungen D, Hess T, Köster A, Lehrer C. From private digital platforms to
    public data spaces: implications for the digital transformation. <i>Electronic
    Markets</i>. 2022;32:493-501. doi:<a href="https://doi.org/10.1007/s12525-022-00553-z">10.1007/s12525-022-00553-z</a>'
  apa: 'Beverungen, D., Hess, T., Köster, A., &#38; Lehrer, C. (2022). From private
    digital platforms to public data spaces: implications for the digital transformation.
    <i>Electronic Markets</i>, <i>32</i>, 493–501. <a href="https://doi.org/10.1007/s12525-022-00553-z">https://doi.org/10.1007/s12525-022-00553-z</a>'
  bibtex: '@article{Beverungen_Hess_Köster_Lehrer_2022, title={From private digital
    platforms to public data spaces: implications for the digital transformation},
    volume={32}, DOI={<a href="https://doi.org/10.1007/s12525-022-00553-z">10.1007/s12525-022-00553-z</a>},
    journal={Electronic Markets}, publisher={Springer Science and Business Media LLC},
    author={Beverungen, Daniel and Hess, Thomas and Köster, Antonia and Lehrer, Christiane},
    year={2022}, pages={493–501} }'
  chicago: 'Beverungen, Daniel, Thomas Hess, Antonia Köster, and Christiane Lehrer.
    “From Private Digital Platforms to Public Data Spaces: Implications for the Digital
    Transformation.” <i>Electronic Markets</i> 32 (2022): 493–501. <a href="https://doi.org/10.1007/s12525-022-00553-z">https://doi.org/10.1007/s12525-022-00553-z</a>.'
  ieee: 'D. Beverungen, T. Hess, A. Köster, and C. Lehrer, “From private digital platforms
    to public data spaces: implications for the digital transformation,” <i>Electronic
    Markets</i>, vol. 32, pp. 493–501, 2022, doi: <a href="https://doi.org/10.1007/s12525-022-00553-z">10.1007/s12525-022-00553-z</a>.'
  mla: 'Beverungen, Daniel, et al. “From Private Digital Platforms to Public Data
    Spaces: Implications for the Digital Transformation.” <i>Electronic Markets</i>,
    vol. 32, Springer Science and Business Media LLC, 2022, pp. 493–501, doi:<a href="https://doi.org/10.1007/s12525-022-00553-z">10.1007/s12525-022-00553-z</a>.'
  short: D. Beverungen, T. Hess, A. Köster, C. Lehrer, Electronic Markets 32 (2022)
    493–501.
date_created: 2023-01-10T09:52:01Z
date_updated: 2024-04-18T12:37:41Z
ddc:
- '380'
department:
- _id: '526'
doi: 10.1007/s12525-022-00553-z
file:
- access_level: closed
  content_type: application/pdf
  creator: dabe
  date_created: 2024-04-18T12:35:42Z
  date_updated: 2024-04-18T12:35:42Z
  file_id: '53572'
  file_name: EM - From Private Platforms o Pubic Data Spaces.pdf
  file_size: 861383
  relation: main_file
  success: 1
file_date_updated: 2024-04-18T12:35:42Z
has_accepted_license: '1'
intvolume: '        32'
keyword:
- Digital transformation
- Public data spaces
- Digital platforms
- GAIA-X
language:
- iso: eng
page: 493-501
publication: Electronic Markets
publication_identifier:
  issn:
  - 1019-6781
  - 1422-8890
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: 'From private digital platforms to public data spaces: implications for the
  digital transformation'
type: journal_article
user_id: '59677'
volume: 32
year: '2022'
...