An ethico-legal framework for social data science

An ethico-legal framework for social data science

Forgó, Nikolaus (University of Vienna)
Hänold, Stefanie (Leibniz Universität)
van den Hoven, M.J. (TU Delft Ethics & Philosophy of Technology)
Krügel, Tina (Leibniz Universität)
Lishchuk, Iryna (Leibniz Universität)
Mahieu, R.L.P. (TU Delft Ethics & Philosophy of Technology; Vrije Universiteit Brussel)
Monreale, Anna (University of Pisa)
Pedreschi, Dino (University of Pisa)
Pratesi, Francesca (University of Pisa; ISTI-CNR)
van Putten, D.C. (TU Delft Ethics & Philosophy of Technology)

2020

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.

Ethical data science
Legal data science
Research infrastructure

http://resolver.tudelft.nl/uuid:b914aa1a-5c94-483e-9dcb-33fb291348d0

https://doi.org/10.1007/s41060-020-00211-7

2364-415X

International Journal of Data Science and Analytics, 11 (4), 377-390

Correction + DOI 10.1007/s41060-021-00261-5

Institutional Repository

journal article

© 2020 Nikolaus Forgó, Stefanie Hänold, M.J. van den Hoven, Tina Krügel, Iryna Lishchuk, R.L.P. Mahieu, Anna Monreale, Dino Pedreschi, Francesca Pratesi, D.C. van Putten