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  4. A roadmap to drive adoption of data ecosystems
 
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2021
Book Article
Title

A roadmap to drive adoption of data ecosystems

Abstract
To support the adoption of big data value, it is essential to foster, strengthen, and support the development of big data value technologies, successful use cases and data-driven business models. At the same time, it is necessary to deal with many different aspects of an increasingly complex data ecosystem. Creating a productive ecosystem for big data and driving accelerated adoption requires an interdisciplinary approach addressing a wide range of challenges from access to data and infrastructure, to technical barriers, skills, and policy and regulation. In order to overcome the adoption challenges, collective action from all stakeholders in an effective, holistic and coherent manner is required. To this end, the Big Data Value Public-Private Partnership (BDV PPP) was established to develop the European data ecosystem and enable data-driven digital transformation, delivering maximum economic and societal benefit, and achieving and sustaining Europe's leadership in the fields of big data value creation and Artificial Intelligence. This chapter describes the different steps that have been taken to address the big data value adoption challenges: first, the establishment of the BDV PPP to mobilise and create coherence with all stakeholders in the European data ecosystem; second, the introduction of five strategic mechanisms to encourage cooperation and coordination in the data ecosystem; third, a three-phase roadmap to guide the development of a healthy European data ecosystem; and fourth, a systematic and strategic approach towards actively engaging the key communities in the European Data Value Ecosystem.
Author(s)
Zillner, Sonja
Siemens AG
Le Bars, Laure
SAP Research
de Lama, Nuria
Atos Origin SA
Scerri, Simon
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
García Robles, Ana
Big Data Value Association
Tonna, Marie Claire
Digital Catapult
Kenneally, Jim
Intel Ireland Ltd.
Mayer, Dirk
Software AG
Hahn, Thomas
Siemens AG
Caj, Södergård
Teknologian Tutkimuskeskus VTT
Seidl, Robert
Nokia Bell Labs
Dalle Carbonare, Davide
Engineering Ingegneria Informatica S.p.A.
Curry, Edward
University of Galway
Journal
Elements of Big Data Value Foundations of the Research and Innovation Ecosystem
Open Access
DOI
10.1007/978-3-030-68176-0_3
Additional link
Full text
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • Adoption of big data

  • Big data value

  • European data ecosystem

  • Public Private Partnership

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