The Elements of Big Data Value : : Foundations of the Research and Innovation Ecosystem

This 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...

Full description

Saved in:
Bibliographic Details
:
TeilnehmendeR:
Year of Publication:2021
Language:English
Physical Description:1 online resource (412 p.)
Notes:Description based upon print version of record.
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 04277nam a22007453u 4500
001 993544871404498
005 20230912174607.0
006 m d
007 cr -n---------
008 220617s2021||||||| o|||||||||||eng|d
020 |a 3-030-68176-9 
035 |a (OCoLC)1258660409 
035 |a EBL6676594 
035 |a (AU-PeEL)EBL6676594 
035 |a (oapen)https://directory.doabooks.org/handle/20.500.12854/71319 
035 |a (MiAaPQ)EBC6676594 
035 |a (PPN)258065419 
035 |a (CKB)5470000000736368 
035 |a (EXLCZ)995470000000736368 
040 |a AU-PeEL  |b eng  |c AU-PeEL  |d AU-PeEL 
041 0 |a eng 
050 4 |a QA75.5-76.95 
100 1 |a Curry, Edward. 
245 1 4 |a The Elements of Big Data Value :  |b Foundations of the Research and Innovation Ecosystem 
260 |a Cham :  |b Springer International Publishing AG,  |c 2021. 
300 |a 1 online resource (412 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Description based upon print version of record. 
520 |a This 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. 
546 |a English 
536 |a National University of Ireland 
650 7 |a Information retrieval  |2 bicssc 
650 7 |a Business & management  |2 bicssc 
650 7 |a Research & development management  |2 bicssc 
650 7 |a Information technology industries  |2 bicssc 
650 7 |a Databases  |2 bicssc 
653 |a Information Storage and Retrieval 
653 |a Business and Management, general 
653 |a Innovation/Technology Management 
653 |a The Computer Industry 
653 |a Big Data 
653 |a Innovation and Technology Management 
653 |a Technology Commercialization 
653 |a Digital Transformation 
653 |a Innovation Spaces 
653 |a Data-Driven Innovation 
653 |a Data Analytics 
653 |a Technology Management 
653 |a Data Ecosystems 
653 |a Data Protection 
653 |a Big Data Business Models 
653 |a Open Access 
653 |a Information retrieval 
653 |a Data warehousing 
653 |a Business & Management 
653 |a Research & development management 
653 |a Industrial applications of scientific research & technological innovation 
653 |a Information technology industries 
653 |a Databases 
776 1 8 |z 978-3-030-68175-3 
700 1 |a Metzger, Andreas. 
700 1 |a Zillner, Sonja. 
700 1 |a Pazzaglia, Jean-Christophe. 
700 1 |a García Robles, Ana. 
906 |a BOOK 
ADM |b 2024-07-17 01:06:13 Europe/Vienna  |f system  |c marc21  |a 2021-07-17 22:16:21 Europe/Vienna  |g false 
AVE |i DOAB Directory of Open Access Books  |P DOAB Directory of Open Access Books  |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337783920004498&Force_direct=true  |Z 5337783920004498  |b Available  |8 5337783920004498