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Titlebook: Data Spaces; Design, Deployment a Edward Curry,Simon Scerri,Tuomo Tuikka Book‘‘‘‘‘‘‘‘ 2022 The Editor(s) (if applicable) and The Author(s)

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發(fā)表于 2025-3-21 18:03:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Data Spaces
副標(biāo)題Design, Deployment a
編輯Edward Curry,Simon Scerri,Tuomo Tuikka
視頻videohttp://file.papertrans.cn/264/263153/263153.mp4
概述This book is is open access which means you have free and unlimited access.Educates data space designers to understand what is required to create a successful data space.Explores the cutting-edge theo
圖書(shū)封面Titlebook: Data Spaces; Design, Deployment a Edward Curry,Simon Scerri,Tuomo Tuikka Book‘‘‘‘‘‘‘‘ 2022 The Editor(s) (if applicable) and The Author(s)
描述.This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces..The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. .The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces..The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy..The third and final part details future directions for data spaces, including challenges and opportunitie
出版日期Book‘‘‘‘‘‘‘‘ 2022
關(guān)鍵詞Data Platforms; Data Spaces; Data Sharing; Data Lifecycle; Platform Architectures; Data Life Cycle; Regula
版次1
doihttps://doi.org/10.1007/978-3-030-98636-0
isbn_softcover978-3-030-98638-4
isbn_ebook978-3-030-98636-0
copyrightThe Editor(s) (if applicable) and The Author(s) 2022
The information of publication is updating

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https://doi.org/10.1007/978-3-319-54609-4nomic activities in every industry sector. Technology is not going to be a barrier anymore; however, where there is large deployment of technology, the production of data creates a growing demand for better data-driven services, and at the same time the benefits of the production of the data are at
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Karol Piaskowski,Dominik Belter support the progression of the data economy by means of data operations and data offering descriptions are introduced. The management of controlled registries, mapping of information using metadata aggregation, interfaces among components, links of data and actors, discovery and retrieval of data,
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Computational Modeling of Signaling Networks by highly dynamic and self-organizing networks. Today’s proprietary technical systems lead to strictly defined engineering processes and value chains. Interacting Digital Twins (DTs) are considered an enabling technology that could help increase flexibility based on semantically enriched informatio
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