| 000 | 04070naaaa2200685uu 4500 | ||
|---|---|---|---|
| 003 | BUT | ||
| 005 | 20230403133750.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20210715s2021 xx |||||o ||| engng d | ||
| 020 | _a9783030681760 | ||
| 040 |
_aoapen _coapen |
||
| 041 | 0 | _aeng | |
| 080 | _a004 | ||
| 100 | 1 |
_aCurry, Edward _4edt |
|
| 245 | 1 | 0 |
_aThe Elements of Big Data Value _bFoundations of the Research and Innovation Ecosystem |
| 260 |
_bSpringer Nature _c2021 |
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| 300 | _a1 electronic resource (399 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aThis open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation. | ||
| 536 | _aNational University of Ireland | ||
| 540 |
_aCreative Commons _fby/4.0/ _2cc |
||
| 546 | _aEnglish | ||
| 650 | 0 |
_aКриптография, безопасность _2bicssc _92233 |
|
| 650 | 0 |
_aБазы данных _2bicssc _92229 |
|
| 653 | _aInformation Storage and Retrieval | ||
| 653 | _aBusiness and Management, general | ||
| 653 | _aInnovation/Technology Management | ||
| 653 | _aThe Computer Industry | ||
| 653 | _aBig Data | ||
| 653 | _aInnovation and Technology Management | ||
| 653 | _aTechnology Commercialization | ||
| 653 | _aDigital Transformation | ||
| 653 | _aInnovation Spaces | ||
| 653 | _aData-Driven Innovation | ||
| 653 | _aData Analytics | ||
| 653 | _aTechnology Management | ||
| 653 | _aData Ecosystems | ||
| 653 | _aData Protection | ||
| 653 | _aBig Data Business Models | ||
| 653 | _aInformation retrieval | ||
| 653 | _aData warehousing | ||
| 653 | _aBusiness & Management | ||
| 653 | _aResearch & development management | ||
| 653 | _aIndustrial applications of scientific research & technological innovation | ||
| 653 | _aInformation technology industries | ||
| 653 | _aDatabases | ||
| 700 | 1 |
_aMetzger, Andreas _4edt |
|
| 700 | 1 |
_aZillner, Sonja _4edt |
|
| 700 | 1 |
_aPazzaglia, Jean-Christophe _4edt |
|
| 700 | 1 |
_aGarcía Robles, Ana _4edt |
|
| 700 | 1 |
_aCurry, Edward _4oth |
|
| 700 | 1 |
_aMetzger, Andreas _4oth |
|
| 700 | 1 |
_aZillner, Sonja _4oth |
|
| 700 | 1 |
_aPazzaglia, Jean-Christophe _4oth |
|
| 700 | 1 |
_aGarcía Robles, Ana _4oth |
|
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/71319 _70 _zDescription |
| 909 |
_c4 _dDarya Shvetsova |
||
| 942 |
_2udc _cEE |
||
| 999 |
_c6251 _d6251 |
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