Paper Info
Title
An Ethico-Legal Framework For Social Data Science
Abstract
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.
Year
DOI
Venue
2021
10.1007/s41060-020-00211-7
INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
Keywords
DocType
Volume
Ethical data science, Legal data science, Research infrastructure
Journal
11
Issue
ISSN
Citations 
4
2364-415X
0
PageRank 
References 
Authors
0.34
0
10
Name
Order
Citations
PageRank
Nikolaus Forgó100.68
Stefanie Hanold211.30
Jeroen Hoven311514.40
Tina Krügel400.68
Iryna Lishchuk500.68
René Mahieu601.01
Anna Monreale758142.49
Dino Pedreschi83083244.47
Francesca Pratesi9277.41
David van Putten1001.01