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Educates data space designers to understand what is required to create a successful data space

Explores the cutting-edge theory, technologies, methodologies, and best practices for data spaces

Captures lessons and experiences in creating data spaces based on real-world projects in various industry sectors

Data Spaces: Design, Deployment, and Future Directions.- Part I: Design.- An Organizational Maturity Model for Data Spaces: A Data Sharing Wheel Approach.- Data Platforms for Data Spaces.- Technological Perspective of Data Governance in Data Space Ecosystems.- Increasing Trust for Data Spaces with Federated Learning.- 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.- Part II: Deployment.- A Digital Twin Platform for Industrie 4.0.- A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS).- Deploying a Scalable Big Data Platform to Enable a Food Safety Data Space.- Data Space Best Practices for Data Interoperability in FinTechs.- TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration.- Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AI Analytics Marketplace.- Part III: Future Directions.- Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research.- Common European Data Spaces: Challenges and Opportunities.