An ethico-legal framework for social data science

Nikolaus Forgó, Stefanie Hänold, Jeroen van den Hoven, Tina Krügel, Iryna Lishchuk, René Mahieu, Anna Monreale, Dino Pedreschi, Francesca Pratesi, David van Putten

Research output: Contribution to journalArticleScientificpeer-review

3 Downloads (Pure)


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.

Original languageEnglish
Number of pages13
JournalInternational Journal of Data Science and Analytics
Publication statusPublished - 2020


  • Ethical data science
  • Legal data science
  • Research infrastructure

Fingerprint Dive into the research topics of 'An ethico-legal framework for social data science'. Together they form a unique fingerprint.

  • Cite this

    Forgó, N., Hänold, S., van den Hoven, J., Krügel, T., Lishchuk, I., Mahieu, R., Monreale, A., Pedreschi, D., Pratesi, F., & van Putten, D. (2020). An ethico-legal framework for social data science. International Journal of Data Science and Analytics.