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 opportunities
for common European data spaces and privacy-preserving 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.
