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

TL;DR

This paper presents a comprehensive research roadmap for Europe to harness big data's societal benefits while addressing associated risks, guiding future research and policy to foster a responsible data-driven economy.

Contribution

It defines a strategic research roadmap for Europe to maximize societal benefits of big data and mitigate risks through targeted research and innovation efforts.

Findings

Mapped research topics in data management, analytics, and ethics.

Outlined a time frame for addressing societal impact issues.

Identified sectors most benefiting from big data research.

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.