| 000 | 05088nam a22006135i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-98636-0 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125018.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220908s2022 sz | s |||| 0|eng d | ||
| 020 |
_a9783030986360 _9978-3-030-98636-0 |
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| 024 | 7 |
_a10.1007/978-3-030-98636-0 _2doi |
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| 050 | 4 | _aQA76.9.D3 | |
| 072 | 7 |
_aUN _2bicssc |
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_aCOM021000 _2bisacsh |
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| 072 | 7 |
_aUN _2thema |
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| 082 | 0 | 4 |
_a005.74 _223 |
| 245 | 1 | 0 |
_aData Spaces _h[electronic resource] : _bDesign, Deployment and Future Directions / _cedited by Edward Curry, Simon Scerri, Tuomo Tuikka. |
| 250 | _a1st ed. 2022. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
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| 300 |
_aXX, 357 p. 77 illus., 59 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aData 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. | |
| 506 | 0 | _aOpen Access | |
| 520 | _aThis 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. | ||
| 650 | 0 | _aDatabase management. | |
| 650 | 0 | _aQuantitative research. | |
| 650 | 0 | _aApplication software. | |
| 650 | 0 | _aComputer systems. | |
| 650 | 0 | _aData protection. | |
| 650 | 1 | 4 | _aDatabase Management. |
| 650 | 2 | 4 | _aData Analysis and Big Data. |
| 650 | 2 | 4 | _aComputer and Information Systems Applications. |
| 650 | 2 | 4 | _aComputer System Implementation. |
| 650 | 2 | 4 | _aData and Information Security. |
| 700 | 1 |
_aCurry, Edward. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aScerri, Simon. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aTuikka, Tuomo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030986353 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030986377 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030986384 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-98636-0 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 912 | _aZDB-2-SOB | ||
| 942 | _cSPRINGER | ||
| 999 |
_c173227 _d173227 |
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