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    http://hdl.handle.net/10362/150246| Título: | A Framework for Big Data Sovereignty | 
| Autor: | Mertens, Christoph Alonso, Jesús Lázaro, Oscar Palansuriya, Charaka Böge, Gernot Nizamis, Alexandros Rousopoulou, Vaia Ioannidis, Dimosthenis Tzovaras, Dimitrios Touma, Rizkallah Tarzán, Miquel Mallada, Diego Figueiras, Paulo Costa, Ruben Graça, Diogo Garcia, Gisela Laibarra, Begoña Celaya, Aitor Sobonski, Piotr Naeem, Azzam Mozo, Alberto Vakaruk, Stanislav Sierra-García, J. Enrique Pastor, Antonio Rodríguez, Juan Hildebrand, Marlène Luniewski, Tomasz Zietak, Wojciech Lange, Christoph Sipsas, Konstantinos Poulakidas, Athanasios  | 
| Palavras-chave: | Data Space Data treasures Data sharing Trust Digital sovereignty EIDS IDSA Open source Interoperability Semantic model QIF FIWARE Certification  | 
| Data: | Set-2022 | 
| Editora: | Springer | 
| Resumo: | The path that the European Commission foresees to leverage data in the best possible way for the sake of European citizens and the digital single market clearly addresses the need for a European Data Space. This data space must follow the rules, derived from European values. The European Data Strategy rests on four pillars: (1) Governance framework for access and use; (2) Investments in Europe’s data capabilities and infrastructures; (3) Competences and skills of individuals and SMEs; (4) Common European Data Spaces in nine strategic areas such as industrial manufacturing, mobility, health, and energy. The project BOOST 4.0 developed a prototype for the industrial manufacturing sector, called European Industrial Data Space (EIDS), an endeavour of 53 companies. The publication will show the developed architectural pattern as well as the developed components and introduce the required infrastructure that was developed for the EIDS. Additionally, the population of such a data space with Big Data enabled services and platforms is described and will be enriched with the perspective of the pilots that have been build based on EIDS. | 
| Descrição: | This data driven digital transformation research is also endorsed by the Digital Factory Alliance (DFA) | 
| Peer review: | yes | 
| URI: | http://hdl.handle.net/10362/150246 | 
| DOI: | https://doi.org/10.1007/978-3-030-98636-0 | 
| ISBN: | 978-3-030-98635-3 978-3-030-98636-0  | 
| Aparece nas colecções: | Home collection (FCT) | 
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| A_Framework_for_Big_Data_Sovereignty.pdf | 694,8 kB | Adobe PDF | Ver/Abrir | 
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