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The societal impact of big data: A research roadmap for Europe

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  • Cuquet, Martí
  • Fensel, Anna

Abstract

With its rapid growth and increasing adoption, big data is producing a substantial impact in society. Its usage is opening both opportunities such as new business models and economic gains and risks such as privacy violations and discrimination. Europe is in need of a comprehensive strategy to optimise the use of data for a societal benefit and increase the innovation and competitiveness of its productive activities. In this paper, we contribute to the definition of this strategy with a research roadmap to capture the economic, social and ethical, legal and political benefits associated with the use of big data in Europe. The present roadmap considers the positive and negative externalities associated with big data, maps research and innovation topics in the areas of data management, processing, analytics, protection, visualisation, as well as non-technical topics, to the externalities they can tackle, and provides a time frame to address these topics in order to deliver social impact, skills development and standardisation. Finally, it also identifies what sectors will be most benefited by each of the research efforts. The goal of the roadmap is to guide European research efforts to develop a socially responsible big data economy, and to allow stakeholders to identify and meet big data challenges and proceed with a shared understanding of the societal impact, positive and negative externalities and concrete problems worth investigating in future programmes.

Suggested Citation

  • Cuquet, Martí & Fensel, Anna, 2018. "The societal impact of big data: A research roadmap for Europe," Technology in Society, Elsevier, vol. 54(C), pages 74-86.
    • Handle: RePEc:eee:teinso:v:54:y:2018:i:c:p:74-86
    DOI: 10.1016/j.techsoc.2018.03.005
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    References listed on IDEAS

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    2. Zhiyu Wan & Yevgeniy Vorobeychik & Weiyi Xia & Ellen Wright Clayton & Murat Kantarcioglu & Ranjit Ganta & Raymond Heatherly & Bradley A Malin, 2015. "A Game Theoretic Framework for Analyzing Re-Identification Risk," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-24, March.
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    Cited by:

    1. Jannusch, Tim & David-Spickermann, Florian & Shannon, Darren & Ressel, Juliane & Völler, Michaele & Murphy, Finbarr & Furxhi, Irini & Cunneen, Martin & Mullins, Martin, 2021. "Surveillance and privacy – Beyond the panopticon. An exploration of 720-degree observation in level 3 and 4 vehicle automation," Technology in Society, Elsevier, vol. 66(C).
    2. John Hamilton, 2020. "The Strategic Change Matrix and Business Sustainability across COVID-19," Sustainability, MDPI, vol. 12(15), pages 1-19, July.
    3. Muhammad Adeel Munir & Amjad Hussain & Muhammad Farooq & Muhammad Salman Habib & Muhammad Faisal Shahzad, 2023. "Data-Driven Transformation: The Role of Ambidexterity and Analytics Capability in Building Dynamic and Sustainable Supply Chains," Sustainability, MDPI, vol. 15(14), pages 1-37, July.
    4. Galetsi, P. & Katsaliaki, K. & Kumar, S., 2019. "Values, challenges and future directions of big data analytics in healthcare: A systematic review," Social Science & Medicine, Elsevier, vol. 241(C).
    5. Certomà, Chiara & Corsini, Filippo & Frey, Marco, 2020. "Hyperconnected, receptive and do-it-yourself city. An investigation into the European “imaginary” of crowdsourcing for urban governance," Technology in Society, Elsevier, vol. 61(C).
    6. Shah, Tushar R., 2022. "Can big data analytics help organisations achieve sustainable competitive advantage? A developmental enquiry," Technology in Society, Elsevier, vol. 68(C).
    7. Arnold, René & Hildebrandt, Christian & Taş, Serpil, 2020. "European data economy: Between competition and regulation. Final report," Study Series, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, number 251538, December.
    8. Georgios Georgiadis & Geert Poels, 2021. "Enterprise architecture management as a solution for addressing general data protection regulation requirements in a big data context: a systematic mapping study," Information Systems and e-Business Management, Springer, vol. 19(1), pages 313-362, March.
    9. Taufick, Roberto D., 2021. "The underdeterrence, underperformance response to privacy, data protection laws," Technology in Society, Elsevier, vol. 67(C).
    10. Bayrak, Tuncay, 2021. "A framework for decision makers to design a business analytics platform for distributed organizations," Technology in Society, Elsevier, vol. 67(C).

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