Data spaces
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
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 from 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
Industrial data spaces
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
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
- ↑ 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 9783030939748. 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).
This article "Data spaces" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Data spaces. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
