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An ethico-legal framework for social data science

This paper presents a framework for research infrastructures enabling ethically sensitive and legally compliant data science in Europe. Our goal is to describe how to design and implement an open platform for big data social science, including, in particular, personal data. To this end, we discuss a number of infrastructural, organizational and methodological principles to be developed for a concrete implementation. These include not only systematically tools and methodologies that effectively enable both the empirical evaluation of the privacy risk and data transformations by using privacy-preserving approaches, but also the development of training materials (a massive open online course) and organizational instruments based on legal and ethical principles. This paper provides, by way of example, the implementation that was adopted within the context of the SoBigData Research Infrastructure.

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Additional Info
Field Value
Author Mahieu, René
Author Lishchuk, Iryna
Author Krügel, Tina
Author van den Hoven, Jeroen
Author Hänold, Stefanie
Author Forgó, Nikolaus
DOI https://doi.org/10.1007/s41060-020-00211-7
Publisher International Journal of Data Science and Analytics
Source International Journal of Data Science and Analytics (2020) Published: 31 March 2020
Thematic Cluster Social Data [SD]
Thematic Cluster Privacy Enhancing Technology [PET]
system:type JournalArticle
Management Info
Field Value
Author Wright Joanna
Maintainer Francesca Pratesi
Version 1
Last Updated 22 July 2022, 08:26 (CEST)
Created 4 March 2021, 03:14 (CET)