Curry E., Scerri S., Tuikka T. (Eds.) Data Spaces: Design, Deployment and Future Directions

Springer, 2022. — 367 p. — ISBN: 9783030986360.This open-access book aims to educate data space designers to understand what is required to create a successful data space. It explores the 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 organizational 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.Data Spaces: Design, Deployment, and Future Directions.
Design
An Organizational Maturity Model for Data Spaces: A DataSharing Wheel Approach.
Data Platforms for Data Spaces.
Technological Perspective of Data Governance in Data Space Ecosystems.
KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform.
Connecting Data Spaces and Data Marketplaces and the Progress Toward the European Single Digital Market with Open-Source Software.
AI-Based Hybrid Data Platforms.
Deployment
A Digital Twin Platform for Industrie 4.0.
A Framework for Big Data Sovereignty: The European IndustrialData Space (EIDS).
Deploying a Scalable Big Data Platform to Enable a Food SafetyData Space.
Data Space Best Practices for Data Interoperability in FinTechs.
TIKD: A Trusted Integrated Knowledge Dataspace for SensitiveData Sharing and Collaboration.
Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AIAnalytics Marketplace.
Future Directions
Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research.
Common European Data Spaces: Challenges and Opportunities.