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Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
Autore Curry Edward
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XX, 357 p. 77 illus., 59 illus. in color.)
Disciplina 005.74
Soggetto topico Database management
Quantitative research
Application software
Computer systems
Data protection
Database Management
Data Analysis and Big Data
Computer and Information Systems Applications
Computer System Implementation
Data and Information Security
Soggetto non controllato Data Platforms
Data Spaces
Data Sharing
Data Lifecycle
Platform Architectures
Data Life Cycle
Regulatory Compliance
ISBN 3-030-98636-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996490356503316
Curry Edward  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
Autore Curry Edward
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XX, 357 p. 77 illus., 59 illus. in color.)
Disciplina 005.74
Soggetto topico Database management
Quantitative research
Application software
Computer systems
Data protection
Database Management
Data Analysis and Big Data
Computer and Information Systems Applications
Computer System Implementation
Data and Information Security
Disseny de bases de dades
Intel·ligència artificial
Dades massives
Soggetto genere / forma Llibres electrònics
ISBN 9783030986360
3030986365
Classificazione COM018000COM021000COM032000COM053000MAT029000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910592294803321
Curry Edward  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui