Data spaces
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Data spaces are an intermediary technology that allows users to collaborate and share data from different sources. They use a decentralised, federated architecture based on shared legal, technical, business, and data sovereignty rules.[1][2] Data spaces handle the management, semantic integration, security, and logging of data and can be used to exchange intellectual property.[3]
History[edit]
Dataspaces were first proposed in 2005, as a way to group several different data management concepts, such as data mapping, data integration, data model management, and data mining. The combined concept defined a technology that could access, process and share data with different sources, formats, and data models.[4][5] Developing technology, increased data sharing between entities, and new legislation all now impact how data can be integrated within a dataspace.[6]
In 2015, the Federal Ministry of Education and Research funded a research project with the Fraunhofer Society called the International Data Space.[6] The International Data Spaces Association was later formed in 2017 to develop the IDS reference architecture model and certification procedures.[7]
A data space was first implemented in 2017 through a collaboration between the FI-WARE Foundation and the International Data Spaces Association. This data space was used to share condition monitoring data from milling machines to perform predictive maintenance.[8] Other significant data space projects include Open DEI, FEDeRATED, iSHARE, i4Trust, and Smart Connected Supplier Network (SCSN).[7]
The Gaia-X European data infrastructure project began in 2019. It aims to create data spaces based on trusted infrastructure for the exchange of data.[9] The Gaia-X architecture uses digital services that establish identity and trust based on European data protection legislation. Trusted data consumers in a certified data space can receive data, but only use it according to the agreed terms, and the data provider retains control of the data.[10]
Types[edit]
Industrial data spaces[edit]
Industrial data spaces are information systems that businesses use to share data efficiently. They have applications in manufacturing, supply chains, and transportation.[11][12][13]
Personal data spaces[edit]
Personal data spaces let people control how their data is shared and used. They allow individuals to be active in the data economy, instead of being passive data sources.[14] People can view their data, switch between storage providers and applications, and share their data with third parties for a defined purpose and time period.[15]
Personal data spaces were included in the European Commission's 2020 European strategy for data, as a way to give citizens control over their data.[16] In 2022, the European Commission launched the European Health Data Space to share personal health data.[17]
References[edit]
- ↑ Volz, Friedrich; Sutschet, Gerhard; Stojanovic, Ljiljana; Usländer, Thomas (2023). "On the Role of Digital Twins in Data Spaces". Sensors. 23 (17): 7601. Bibcode:2023Senso..23.7601V. doi:10.3390/s23177601. PMC 10490598 Check
|pmc=value (help). PMID 37688061 Check|pmid=value (help). - ↑ George Lawton (25 May 2022). "How data spaces could scale creating digital twins". VentureBeat. Retrieved 31 July 2023.
- ↑ Bader, S.; Pullmann, J.; Mader, C.; Tramp, S.; Quix, C.; Müller, A.W.; Akyürek, H.; Böckmann, M.; Imbusch, B.T.; Lipp, J.; Geisler, S. (2020). "The international data spaces information model–an ontology for sovereign exchange of digital content". International Semantic Web Conference. Springer International Publishing: 176–192.
- ↑ Michael J. Franklin; Halevy, A.; Maier, D. (2005). "From databases to dataspaces". ACM SIGMOD Record. 34 (4): 27. doi:10.1145/1107499.1107502. Unknown parameter
|s2cid=ignored (help) - ↑ Curry, Edwards; Scerri, Simon; Tuomo, Tuikka (2022). "A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS)" (PDF). Data Spaces: Design, Deployment, and Future Directions. Springer International Publishing. pp. 201–226. doi:10.1007/978-3-030-98636-0_10. ISBN 9783030986360. Search this book on
- ↑ 6.0 6.1 Otto, B. (2022). "The evolution of data spaces" (PDF). Designing Data Spaces. Springer International Publishing: 7.
- ↑ 7.0 7.1 Piest, J.P.S.; de Alencar Silva, P.; Bukhsh, F.A. (2022). "Aligning Dutch logistics data spaces initiatives to the international data spaces: Discussing the state of development" (PDF). Proceedings of the Workshop of I-ESA. RWTH Aachen University. 22.
- ↑ Alonso, Á.; Pozo, A.; Cantera, J.M.; De la Vega, F.; Hierro, J.J. (2018). "Industrial data space architecture implementation using FIWARE". Sensors. MDPI. 18 (7): 2226. Bibcode:2018Senso..18.2226A. doi:10.3390/s18072226. PMC 6068996. PMID 29997317.
- ↑ Braud, A.; Fromentoux, G.; Radier, B.; Le Grand, O. (2021). "The road to European digital sovereignty with Gaia-X and IDSA" (PDF). IEEE Network. IEEE. 35 (2): 4–5. doi:10.1109/MNET.2021.9387709. Unknown parameter
|s2cid=ignored (help) - ↑ Seidel, A.; Wenzel, K.; Hänel, A.; Teicher, U.; Weiß, A.; Schäfer, U.; Ihlenfeldt, S.; Eisenmann, H.; Ernst, H. (2023). "Towards a seamless data cycle for space components: considerations from the growing European future digital ecosystem Gaia-X". CEAS Space Journal. Springer. 16 (3): 351–365. Bibcode:2023CEAS..tmp...31S. doi:10.1007/s12567-023-00500-4. Unknown parameter
|s2cid=ignored (help) - ↑ Schlueter Langdon, C.; Schweichhart, K. (2022). "Data Spaces: First Applications in Mobility and Industry". Designing Data Spaces: The Ecosystem Approach to Competitive Advantage. Springer International Publishing. pp. 493–511. doi:10.1007/978-3-030-93975-5_30. ISBN 978-3-030-93974-8. Search this book on
- ↑ Alexopoulos, K.; Weber, M.; Trautner, T.; Manns, M.; Nikolakis, N.; Weigold, M.; Engel, B. (2023). "An industrial data-spaces framework for resilient manufacturing value chains". Procedia CIRP. Elsevier. 116: 299–304. doi:10.1016/j.procir.2023.02.051. Unknown parameter
|s2cid=ignored (help) - ↑ Pinto, Pedro; Sousa, Cristóvão; Cardeiro, Carlos (2023). "Data Spaces Based Approach for B2B Data Exchange: A Footwear Industry Case". Procedia Computer Science. Elsevier. 219: 933–940. doi:10.1016/j.procs.2023.01.369. Unknown parameter
|s2cid=ignored (help) - ↑ Lehtiniemi, Tuukka (2017). "Personal Data Spaces: An Intervention in Surveillance Capitalism?". Surveillance & Society. 15 (5): 626–639. doi:10.24908/ss.v15i5.6424. Unknown parameter
|s2cid=ignored (help) - ↑ Van Damme, Sander; Mechant, Peter; Vlassenroot, Eveline; Van Compernolle, Mathias; Buyle, Raf; Bauwens, Dorien. Towards a Research Agenda for Personal Data Spaces: Synthesis of a Community Driven Process. International Conference on Electronic Government. Springer. pp. 563–577. doi:10.1007/978-3-031-15086-9_36.
- ↑ Lähteenoja, V. (2023). "What are "personal data spaces"?". Companion Proceedings of the ACM Web Conference 2023. Association for Computing Machinery. pp. 1458–1461. doi:10.1145/3543873.3587656. ISBN 9781450394192. Unknown parameter
|s2cid=ignored (help) Search this book on
- ↑ Horgan, D.; Hajduch, M.; Vrana, M.; Soderberg, J.; Hughes, N.; Omar, M.I.; Lal, J.A.; Kozaric, M.; Cascini, F.; Thaler, V.; Solà-Morales, O. (2022). "European health data space—an opportunity now to grasp the future of data-driven healthcare". Healthcare. MDPI. 10 (9): 1629. doi:10.3390/healthcare10091629. PMC 9498352 Check
|pmc=value (help). PMID 36141241 Check|pmid=value (help).
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