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Title	European Data Spaces For Urban Digital Twins: User-And Implementation-Driven Recommendations
ID_Doc	24516
Authors	Martella C.; Martella A.; Longo A.
Year	2024
Published	Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024
DOI	http://dx.doi.org/10.1109/BigData62323.2024.10826100
Abstract	Data spaces are driving smart city innovation by promoting interoperability, standardization, and predictive analytics, enabling proactive urban management and fostering innovation by creating a collaborative data ecosystem. The European Community is strongly promoting data spaces design initiatives. However, designers face complex challenges in complying with legal data regulations due to the lack of mature, unified solutions.This study aims to fill a gap in data space design literature by gathering key factors and scouting compliant implementations. It introduces European initiatives and their joint ventures, and identifies overlaps and lack of coordination between their proposals. Using these results, we formulate suggested actions and organize them into seven areas. For each given area, the most suitable European data space initiatives in terms of technical specifications and implementations are finally proposed to DS developers. The recommendations are intended to assist DS developers in identifying and navigating European DS design initiatives before selecting the most suitable proposal. © 2024 IEEE.
Author Keywords	data space; design; digital twin; recommendations; smart cities

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