Beschreibung
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 realworld deployments. Its chapters are coauthored 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 opportunities for common European data spaces and privacypreserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical.
Autorenporträt
Edward Curry is the Established Professor of Data Science and Director of the Insight SFI Research Centre for Data Analytics at University of Galway, Ireland. Edward has contributed to the foundations of data spaces with contributions to semantics, knowledge graphs, incremental data management, data governance, and multimodal processing. Edward is co-founder and elected Vice President of the Big Data Value Association, an industry-led European big data community. Simon Scerri has over 15 years of research experience exploring Knowledge Graph methodologies and applications, with the objective of strengthening and diversifying Data Value Chains to realise various data infrastructures. Currently, Simon fulfils the role of a senior technical consultant at metaphacts GmbH, Germany. Previously, Simon fronted the Knowledge Graph competency area at the Enterprise Information Systems department in Fraunhofer IAIS. Tuomo Tuikka is the Lead of Data Space Solutions at VTT Technical Research Centre of Finland. He is involved in many European and national research and innovation activities especially on data spaces, data infrastructures, big data, and artificial intelligence. Tuomo is a member of the Board of the Big Data Value Association, the Gaia-X Finland hub steering group, and leads the data analytics spearhead program at the city of Oulu.
