Details
| Original language | English |
|---|---|
| Pages (from-to) | 377-390 |
| Number of pages | 14 |
| Journal | International Journal of Data Science and Analytics |
| Volume | 11 |
| Issue number | 4 |
| Early online date | 31 Mar 2020 |
| Publication status | Published - May 2021 |
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.
Keywords
- Ethical data science, Legal data science, Research infrastructure
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Mathematics(all)
- Modelling and Simulation
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Computational Theory and Mathematics
- Mathematics(all)
- Applied Mathematics
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In: International Journal of Data Science and Analytics, Vol. 11, No. 4, 05.2021, p. 377-390.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - An ethico-legal framework for social data science
AU - Forgó, Nikolaus
AU - Hänold, Stefanie
AU - van den Hoven, Jeroen
AU - Krügel, Tina
AU - Lishchuk, Iryna
AU - Mahieu, René
AU - Monreale, Anna
AU - Pedreschi, Dino
AU - Pratesi, Francesca
AU - van Putten, David
N1 - Funding Information: This work was supported by the European Commission through the Horizon2020 European project “SoBigData Research Infrastructure—Big Data and Social Mining Ecosystem” (Grant Agreement 654024). The funders had no role in developing the research and writing the manuscript.
PY - 2021/5
Y1 - 2021/5
N2 - 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.
AB - 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.
KW - Ethical data science
KW - Legal data science
KW - Research infrastructure
UR - http://www.scopus.com/inward/record.url?scp=85087962799&partnerID=8YFLogxK
U2 - 10.1007/s41060-020-00211-7
DO - 10.1007/s41060-020-00211-7
M3 - Article
AN - SCOPUS:85087962799
VL - 11
SP - 377
EP - 390
JO - International Journal of Data Science and Analytics
JF - International Journal of Data Science and Analytics
SN - 2364-415X
IS - 4
ER -