LEADER 04496nam 22008173u 450 001 996464495403316 005 20230221130447.0 010 $a3-030-68176-9 035 $a(OCoLC)1258660409 035 $aEBL6676594 035 $a(AU-PeEL)EBL6676594 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/71319 035 $a(PPN)258065419 035 $a(EXLCZ)995470000000736368 100 $a20220617d2021|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Elements of Big Data Value$b[electronic resource] $eFoundations of the Research and Innovation Ecosystem 210 $aCham $cSpringer International Publishing AG$d2021 215 $a1 online resource (412 p.) 300 $aDescription based upon print version of record. 311 18$a978-3-030-68175-3 330 $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. 606 $aInformation retrieval$2bicssc 606 $aBusiness & management$2bicssc 606 $aResearch & development management$2bicssc 606 $aInformation technology industries$2bicssc 606 $aDatabases$2bicssc 610 $aInformation Storage and Retrieval 610 $aBusiness and Management, general 610 $aInnovation/Technology Management 610 $aThe Computer Industry 610 $aBig Data 610 $aInnovation and Technology Management 610 $aTechnology Commercialization 610 $aDigital Transformation 610 $aInnovation Spaces 610 $aData-Driven Innovation 610 $aData Analytics 610 $aTechnology Management 610 $aData Ecosystems 610 $aData Protection 610 $aBig Data Business Models 610 $aOpen Access 610 $aInformation retrieval 610 $aData warehousing 610 $aBusiness & Management 610 $aResearch & development management 610 $aIndustrial applications of scientific research & technological innovation 610 $aInformation technology industries 610 $aDatabases 615 7$aInformation retrieval 615 7$aBusiness & management 615 7$aResearch & development management 615 7$aInformation technology industries 615 7$aDatabases 700 $aCurry$b Edward$0904514 701 $aMetzger$b Andreas$0963438 701 $aZillner$b Sonja$01237034 701 $aPazzaglia$b Jean-Christophe$01237035 701 $aGarcía Robles$b Ana$01237036 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a996464495403316 996 $aThe Elements of Big Data Value$92871845 997 $aUNISA