01588nas a2200229   4500008004100000020001400041245005400055210005000109260001500159520091000174100002101084700002201105700002601127700001801153700002001171700001801191700001901209700002001228700002301248700002201271856006501293       2020                        eng d  a2364-416800aAn ethico-legal framework for social data science0 aethicolegal framework for social data science  c2020/03/313 aThis 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.1 aForgó, Nikolaus1 aHänold, Stefanie1 avan den Hoven, Jeroen1 aKrügel, Tina1 aLishchuk, Iryna1 aMahieu, René1 aMonreale, Anna1 aPedreschi, Dino1 aPratesi, Francesca1 avan Putten, David  uhttps://link.springer.com/article/10.1007/s41060-020-00211-7