什么是数据空间?系统调查和未来展望

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Manlio Bacco , Alexander Kocian , Stefano Chessa , Antonino Crivello , Paolo Barsocchi
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引用次数: 0

摘要

数据空间是一个推动数据共享和交换的新概念,由于对互操作性和数据主权的需求日益增长,数据空间的发展势头迅猛。在大约二十年前的初始阶段,这一概念曾在不同的场景中进行过初步探索,目前正经历一个巩固阶段,在这一阶段中,规范和实施都向标准化的共同参考靠拢。在此背景下,我们通过系统的文献调查、对构建数据空间所需组件的描述、数据空间的工作原理以及现有的成熟软件实施,提出了我们对数据空间的看法。我们全面介绍了这一概念背后的架构愿景,并分析了 IDS 的参考架构模型。我们为有兴趣尝试在数据空间中使用软件组件的读者提供了实用指南,并在最后强调了这些组件取得成功所面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What are data spaces? Systematic survey and future outlook
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.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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