Data Spaces: Design, Deployment and Future Directions
Data Spaces: Design, Deployment and Future Directions
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This open-access book provides insights into the design, deployment, and future directions of data spaces, covering cutting-edge theory, technologies, methodologies, and best practices for industrial and personal data. It is of interest to researchers and practitioners in data management and data-driven systems.
Format: Paperback / softback
Length: 357 pages
Publication date: 01 September 2022
Publisher: Springer Nature Switzerland AG
This comprehensive open-access book serves as a valuable resource for data space designers, empowering them to grasp the essential elements necessary for creating a successful data space. It delves into cutting-edge theories, technologies, methodologies, and best practices, catering to both industrial and personal data. By offering a foundational understanding of data space design, deployment, and future directions, the book equips readers with the tools to navigate the intricate landscape of data spaces.
The book captures the early insights and experiences gained in the development of data spaces, organizing these contributions into three distinct parts: design, deployment, and future directions.
The first part delves into the design space of data spaces, presenting a comprehensive exploration of various aspects. The individual chapters delve into the organizational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. This section provides a thorough roadmap for designing robust and effective data spaces.
The second part showcases the practical applications of data spaces within real-world deployments. Collaborating with industry experts, the chapters present case studies of data spaces in diverse sectors such as Industry 4.0, food safety, FinTech, healthcare, and energy. These case studies offer valuable insights into the successful implementation of data spaces and their impact on various industries.
The third and final part delves into the future directions of data spaces, addressing both challenges and opportunities. It explores the potential for common European data spaces and discusses privacy-preserving techniques for trustworthy data sharing. This section provides valuable perspectives on the evolving landscape of data spaces and the steps needed to ensure their sustainable growth and development.
This book appeals to two primary audiences: researchers interested in data management and data sharing, and practitioners and industry experts involved in data-driven systems where the sharing and exchange of data within an ecosystem are critical. By providing a comprehensive and interdisciplinary approach, the book fosters a deeper understanding of data spaces and their potential to revolutionize the way we manage and analyze data.
In conclusion, this open-access book is a must-read for anyone seeking to excel in the field of data space design, deployment, and future directions. It offers a wealth of knowledge, insights, and best practices, empowering designers to create data spaces that are robust, effective, and aligned with the evolving needs of industries and individuals.
Weight: 581g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030986384
Edition number: 1st ed. 2022
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