2025

Mathias Vorbröcker; Oliver Antons; Julia C Arlinghaus
Industrial Data Space Research Conference
Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2024. Studies in Computational Intelligence, vol. 1197, Springer, 2025, ISBN: 978-3-031-85316-6.
Abstract | Links | BibTeX | Tags: Data analytics, Data Space, Gaia-X, IDS
@conference{vorbrocker2025industrial,
title = {Industrial Data Space Research},
author = {Mathias Vorbr\"{o}cker and Oliver Antons and Julia C Arlinghaus},
editor = {Springer, Cham},
url = {https://link.springer.com/chapter/10.1007/978-3-031-85316-6_12},
doi = {10.1007/978-3-031-85316-6_12},
isbn = {978-3-031-85316-6},
year = {2025},
date = {2025-07-03},
urldate = {2025-07-03},
booktitle = {Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2024. Studies in Computational Intelligence},
journal = {Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future: Proceedings of SOHOMA 2024},
volume = {1197},
pages = {163},
publisher = {Springer},
abstract = {In recent years, the topic of data spaces has been increasingly gaining traction. Multiple research initiatives, backed by industrial and government actors have introduced several data spaces for various industries and medicine, and beyond. In order to support value creation, public services and collaboration between a plethora of different participants of the data spaces, the sharing of information and building services and insights thereupon has been identified as key enabler. However, these initiatives differ in various properties from the initial idea for data spaces derived in research. In this article, we review the current state of literature regarding the concept of data spaces and the impact of European initiatives, namely International Data Spaces, Gaia-X and European Health Data Space, on the literature. Identifying characteristic properties of data spaces and its participants, we provide a general overview.},
keywords = {Data analytics, Data Space, Gaia-X, IDS},
pubstate = {published},
tppubtype = {conference}
}

Anna-Kristin Behnert; Oliver Antons; Lena Prieß; Julia Arlinghaus
Data-Driven Circularity: The Role of Data Spaces in fostering Sustainable Manufacturing Journal Article
In: IFAC-PapersOnLine, vol. 59, no. 10, pp. 1241-1246, 2025, ISSN: 2405-8963, (11th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2025).
Abstract | Links | BibTeX | Tags: Circular Economy, Data Space, Sustainability
@article{BEHNERT20251241,
title = {Data-Driven Circularity: The Role of Data Spaces in fostering Sustainable Manufacturing},
author = {Anna-Kristin Behnert and Oliver Antons and Lena Prie\ss and Julia Arlinghaus},
url = {https://www.sciencedirect.com/science/article/pii/S240589632500970X},
doi = {https://doi.org/10.1016/j.ifacol.2025.09.209},
issn = {2405-8963},
year = {2025},
date = {2025-01-01},
urldate = {2025-01-01},
journal = {IFAC-PapersOnLine},
volume = {59},
number = {10},
pages = {1241-1246},
abstract = {The transition to a Circular Economy is critical for achieving sustainable manufacturing. However, challenges such as complex supply chains, lack of transparency and stakeholder collaboration are hindering progress. This paper examines the potential of Data Spaces to overcome these challenges and promote sustainable production practices. A systematic review of the literature and abibliometric analysis were conducted to identify key research areas, geographical trends, synergies and gaps in the intersection of Da ta Spaces and Circular Economy. Subsequently, propositions were derived regarding the potential of Data Spaces to foster Circular Economy. By integrating Digital Product Pass ports and federated B2B marketplaces, Da ta Spaces facilitate recycling, repair and reuse processes, while simultaneously reducing the barrier to entry for small and medium-sized enterprises. The findings underscore the transformative role of Data Spaces in operation a lizingcircular principles. A research agenda is proposed to guide future empirical and theoretical studies in this domain.},
note = {11th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2025},
keywords = {Circular Economy, Data Space, Sustainability},
pubstate = {published},
tppubtype = {article}
}