---
_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: '58763'
abstract:
- lang: eng
  text: Utilizing data is crucial for economic success, but a lack of interoperability
    and concerns about the misuse of ones own data are hindering the cross-organizational
    use of data. Dataspaces provide the infrastructure necessary to integrate heterogeneous
    data sources within an organization or ecosystem, enabling seamless data interaction
    and interoperability. In addition, data spaces strengthen data sovereignty through
    their decentralized nature, which enables organizations to effectively control
    and manage their data. However, challenges persist in managing the complexity
    and dynamic nature of dataspaces, requiring significant resources and technical
    expertise. The decentralized nature leads to a large and diverse number of stakeholders,
    who need to agree on the use and scope of a dataspace. Modeling is a common approach
    to cope with technical complexity and heterogeneous stakeholders. In this paper,
    we propose a version of SysML and a corresponding method that focus on the modelling
    of data spaces. We provide a dataspace modelling method to unify the understanding
    of dataspaces and scope among all stakeholders to simplify the design and development
    process.
author:
- first_name: Pranav Jayant
  full_name: Kulkarni, Pranav Jayant
  id: '86782'
  last_name: Kulkarni
- first_name: Julian
  full_name: Zerbin, Julian
  id: '51711'
  last_name: Zerbin
- first_name: Christian
  full_name: Koldewey, Christian
  id: '43136'
  last_name: Koldewey
  orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Ruslan
  full_name: Bernijazov, Ruslan
  id: '36312'
  last_name: Bernijazov
- first_name: Roman
  full_name: Dumitrescu, Roman
  id: '16190'
  last_name: Dumitrescu
citation:
  ama: 'Kulkarni PJ, Zerbin J, Koldewey C, Bernijazov R, Dumitrescu R. Using SysML
    as a Modelling Language for Dataspaces. In: <i>2024 IEEE International Conference
    on Technology Management, Operations and Decisions (ICTMOD)</i>. IEEE; 2025. doi:<a
    href="https://doi.org/10.1109/ictmod63116.2024.10878227">10.1109/ictmod63116.2024.10878227</a>'
  apa: Kulkarni, P. J., Zerbin, J., Koldewey, C., Bernijazov, R., &#38; Dumitrescu,
    R. (2025). Using SysML as a Modelling Language for Dataspaces. <i>2024 IEEE International
    Conference on Technology Management, Operations and Decisions (ICTMOD)</i>. 2024
    IEEE International Conference on Technology Management, Operations and Decisions
    (ICTMOD), Sharjah, United Arab Emirates . <a href="https://doi.org/10.1109/ictmod63116.2024.10878227">https://doi.org/10.1109/ictmod63116.2024.10878227</a>
  bibtex: '@inproceedings{Kulkarni_Zerbin_Koldewey_Bernijazov_Dumitrescu_2025, title={Using
    SysML as a Modelling Language for Dataspaces}, DOI={<a href="https://doi.org/10.1109/ictmod63116.2024.10878227">10.1109/ictmod63116.2024.10878227</a>},
    booktitle={2024 IEEE International Conference on Technology Management, Operations
    and Decisions (ICTMOD)}, publisher={IEEE}, author={Kulkarni, Pranav Jayant and
    Zerbin, Julian and Koldewey, Christian and Bernijazov, Ruslan and Dumitrescu,
    Roman}, year={2025} }'
  chicago: Kulkarni, Pranav Jayant, Julian Zerbin, Christian Koldewey, Ruslan Bernijazov,
    and Roman Dumitrescu. “Using SysML as a Modelling Language for Dataspaces.” In
    <i>2024 IEEE International Conference on Technology Management, Operations and
    Decisions (ICTMOD)</i>. IEEE, 2025. <a href="https://doi.org/10.1109/ictmod63116.2024.10878227">https://doi.org/10.1109/ictmod63116.2024.10878227</a>.
  ieee: 'P. J. Kulkarni, J. Zerbin, C. Koldewey, R. Bernijazov, and R. Dumitrescu,
    “Using SysML as a Modelling Language for Dataspaces,” presented at the 2024 IEEE
    International Conference on Technology Management, Operations and Decisions (ICTMOD),
    Sharjah, United Arab Emirates , 2025, doi: <a href="https://doi.org/10.1109/ictmod63116.2024.10878227">10.1109/ictmod63116.2024.10878227</a>.'
  mla: Kulkarni, Pranav Jayant, et al. “Using SysML as a Modelling Language for Dataspaces.”
    <i>2024 IEEE International Conference on Technology Management, Operations and
    Decisions (ICTMOD)</i>, IEEE, 2025, doi:<a href="https://doi.org/10.1109/ictmod63116.2024.10878227">10.1109/ictmod63116.2024.10878227</a>.
  short: 'P.J. Kulkarni, J. Zerbin, C. Koldewey, R. Bernijazov, R. Dumitrescu, in:
    2024 IEEE International Conference on Technology Management, Operations and Decisions
    (ICTMOD), IEEE, 2025.'
conference:
  end_date: 2024-11-06
  location: 'Sharjah, United Arab Emirates '
  name: 2024 IEEE International Conference on Technology Management, Operations and
    Decisions (ICTMOD)
  start_date: 2024-11-04
date_created: 2025-02-21T15:25:13Z
date_updated: 2026-01-30T09:05:24Z
department:
- _id: '563'
doi: 10.1109/ictmod63116.2024.10878227
keyword:
- Dataspaces
- Modelling
- SysML
- Gaia-X
- System Specification
language:
- iso: eng
publication: 2024 IEEE International Conference on Technology Management, Operations
  and Decisions (ICTMOD)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Using SysML as a Modelling Language for Dataspaces
type: conference
user_id: '51711'
year: '2025'
...
---
_id: '65038'
abstract:
- lang: eng
  text: The rapid advancements in digital transformation have led to the emergence
    of dataspaces as a pivotal element for industry-wide and cross-industry data integration
    and interoperability across various businesses. Despite their potential, the adoption
    and effective utilization of dataspaces by business stakeholders remain challenging.
    This paper aims to address this gap by developing a comprehensive learning environment
    tailored for business stakeholders. Through an interview study and an analysis
    of the current state of research, we identify problem fields and derive key requirements
    for the development of the learning environment. The proposed environment includes
    a demonstrator and a training concept designed to enhance stakeholders' understanding
    and capabilities in managing and leveraging dataspaces. Our findings contribute
    to the body of knowledge by providing practical guidance through learning environments
    for the deployment of dataspaces in business contexts and highlighting areas for
    future research.
author:
- first_name: Jonas
  full_name: Lick, Jonas
  last_name: Lick
- first_name: Jessica
  full_name: Lamarz, Jessica
  last_name: Lamarz
- first_name: Friederike
  full_name: Dohmann, Friederike
  last_name: Dohmann
- first_name: Pranav Jayant
  full_name: Kulkarni, Pranav Jayant
  id: '86782'
  last_name: Kulkarni
- first_name: Julian
  full_name: Zerbin, Julian
  id: '51711'
  last_name: Zerbin
- first_name: Christian
  full_name: Koldewey, Christian
  id: '43136'
  last_name: Koldewey
  orcid: https://orcid.org/0000-0001-7992-6399
citation:
  ama: 'Lick J, Lamarz J, Dohmann F, Kulkarni PJ, Zerbin J, Koldewey C. Guidance on
    Dataspaces: Development of a Learning Environment for Industrial SMEs. In: <i>2024
    6th International Conference on Control and Robotics (ICCR)</i>. IEEE; 2025. doi:<a
    href="https://doi.org/10.1109/iccr64365.2024.10927580">10.1109/iccr64365.2024.10927580</a>'
  apa: 'Lick, J., Lamarz, J., Dohmann, F., Kulkarni, P. J., Zerbin, J., &#38; Koldewey,
    C. (2025). Guidance on Dataspaces: Development of a Learning Environment for Industrial
    SMEs. <i>2024 6th International Conference on Control and Robotics (ICCR)</i>.
    6th International Conference on Control and Robotics (ICCR), Yokohama, Japan .
    <a href="https://doi.org/10.1109/iccr64365.2024.10927580">https://doi.org/10.1109/iccr64365.2024.10927580</a>'
  bibtex: '@inproceedings{Lick_Lamarz_Dohmann_Kulkarni_Zerbin_Koldewey_2025, title={Guidance
    on Dataspaces: Development of a Learning Environment for Industrial SMEs}, DOI={<a
    href="https://doi.org/10.1109/iccr64365.2024.10927580">10.1109/iccr64365.2024.10927580</a>},
    booktitle={2024 6th International Conference on Control and Robotics (ICCR)},
    publisher={IEEE}, author={Lick, Jonas and Lamarz, Jessica and Dohmann, Friederike
    and Kulkarni, Pranav Jayant and Zerbin, Julian and Koldewey, Christian}, year={2025}
    }'
  chicago: 'Lick, Jonas, Jessica Lamarz, Friederike Dohmann, Pranav Jayant Kulkarni,
    Julian Zerbin, and Christian Koldewey. “Guidance on Dataspaces: Development of
    a Learning Environment for Industrial SMEs.” In <i>2024 6th International Conference
    on Control and Robotics (ICCR)</i>. IEEE, 2025. <a href="https://doi.org/10.1109/iccr64365.2024.10927580">https://doi.org/10.1109/iccr64365.2024.10927580</a>.'
  ieee: 'J. Lick, J. Lamarz, F. Dohmann, P. J. Kulkarni, J. Zerbin, and C. Koldewey,
    “Guidance on Dataspaces: Development of a Learning Environment for Industrial
    SMEs,” presented at the 6th International Conference on Control and Robotics (ICCR),
    Yokohama, Japan , 2025, doi: <a href="https://doi.org/10.1109/iccr64365.2024.10927580">10.1109/iccr64365.2024.10927580</a>.'
  mla: 'Lick, Jonas, et al. “Guidance on Dataspaces: Development of a Learning Environment
    for Industrial SMEs.” <i>2024 6th International Conference on Control and Robotics
    (ICCR)</i>, IEEE, 2025, doi:<a href="https://doi.org/10.1109/iccr64365.2024.10927580">10.1109/iccr64365.2024.10927580</a>.'
  short: 'J. Lick, J. Lamarz, F. Dohmann, P.J. Kulkarni, J. Zerbin, C. Koldewey, in:
    2024 6th International Conference on Control and Robotics (ICCR), IEEE, 2025.'
conference:
  end_date: 2024-12-07
  location: 'Yokohama, Japan '
  name: 6th International Conference on Control and Robotics (ICCR)
  start_date: 2024-12-05
date_created: 2026-03-18T07:13:35Z
date_updated: 2026-03-18T07:18:48Z
department:
- _id: '563'
doi: 10.1109/iccr64365.2024.10927580
language:
- iso: eng
publication: 2024 6th International Conference on Control and Robotics (ICCR)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: 'Guidance on Dataspaces: Development of a Learning Environment for Industrial
  SMEs'
type: conference
user_id: '51711'
year: '2025'
...