TY  - BOOK
ED  - Curry, Edward
ED  - Metzger, Andreas
ED  - Zillner, Sonja
ED  - Pazzaglia, Jean-Christophe
ED  - García Robles, Ana
AB  - 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.
DO  - 10.1007/978-3-030-68176-0
ID  - OAPEN ID: ONIX_20210714_9783030681760_12
KW  - Information Storage and Retrieval
KW  - Business and Management, general
KW  - Innovation/Technology Management
KW  - The Computer Industry
KW  - Big Data
KW  - Innovation and Technology Management
KW  - Technology Commercialization
KW  - Digital Transformation
KW  - Innovation Spaces
KW  - Data-Driven Innovation
KW  - Data Analytics
KW  - Technology Management
KW  - Data Ecosystems
KW  - Data Protection
KW  - Big Data Business Models
KW  - Open Access
KW  - Information retrieval
KW  - Data warehousing
KW  - Business & Management
KW  - Research & development management
KW  - Industrial applications of scientific research & technological innovation
KW  - Information technology industries
KW  - Databases
L1  - https://library.oapen.org/bitstream/id/c53108ec-8c57-48bb-b8c9-7ef4b2466c24/978-3-030-68176-0.pdf
LA  - English
LK  - https://library.oapen.org/handle/20.500.12657/50023
PB  - Springer Nature
PY  - 2021
SN  - 9783030681760
TI  - The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem
ER  - 
