Bacco Manlio, Kocian Alexander, Chessa Stefano, Crivello Antonino, Barsocchi Paolo
European Commission, Joint Research Centre (JRC), Ispra, Italy.
Institute of Information Science and Technologies (ISTI), CNR, Pisa, Italy.
Data Brief. 2024 Oct 1;57:110969. doi: 10.1016/j.dib.2024.110969. eCollection 2024 Dec.
Data spaces, a novel concept pushing data sharing and exchange, are experiencing momentum because of recent developments motivated by the increasing need for interoperability and data sovereignty. After an initial phase, dating back to approximately twenty years ago, in which this concept has been tentatively explored in different scenarios, it is presently going through a consolidation phase in which both specifications and implementations converge towards a common reference for standardisation. In this context, we offer our view on data spaces by presenting a systematic literature survey, a description of the components needed to build them, how they work, and of existing mature software implementations. We thoroughly present the architectural vision behind the concept and we analyse the Reference Architectural Model by IDS. We provide practical pointers to readers interested in experimenting with software components used in data spaces, and we conclude by highlighting open challenges for their success.
数据空间作为推动数据共享与交换的全新概念，正借助近期受互操作性和数据主权需求增长所驱动的发展态势而蓬勃发展。在大约二十年前的初始阶段，该概念已在不同场景中得到初步探索，目前正处于整合阶段，规范与实现都朝着标准化的共同参考方向汇聚。在此背景下，我们通过进行系统的文献综述、描述构建数据空间所需的组件、其工作方式以及现有的成熟软件实现，来阐述我们对数据空间的看法。我们全面呈现该概念背后的架构愿景，并分析由IDS提出的参考架构模型。我们为有兴趣试用数据空间中使用的软件组件的读者提供实用指南，并通过强调其成功面临的开放性挑战来进行总结。
