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  4. The Challenges of Big Data for Research Ethics Committees: A Qualitative Swiss Study
 
research article

The Challenges of Big Data for Research Ethics Committees: A Qualitative Swiss Study

Ferretti, Agata
•
Ienca, Marcello  
•
Velarde, Minerva Rivas
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November 15, 2021
Journal Of Empirical Research On Human Research Ethics

Big data trends in health research challenge the oversight mechanism of the Research Ethics Committees (RECs). The traditional standards of research quality and the mandate of RECs illuminate deficits in facing the computational complexity, methodological novelty, and limited auditability of these approaches. To better understand the challenges facing RECs, we explored the perspectives and attitudes of the members of the seven Swiss Cantonal RECs via semi-structured qualitative interviews. Our interviews reveal limited experience among REC members with the review of big data research, insufficient expertise in data science, and uncertainty about how to mitigate big data research risks. Nonetheless, RECs could strengthen their oversight by training in data science and big data ethics, complementing their role with external experts and ad hoc boards, and introducing precise shared practices.

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Type
research article
DOI
10.1177/15562646211053538
Web of Science ID

WOS:000720381400001

Author(s)
Ferretti, Agata
Ienca, Marcello  
Velarde, Minerva Rivas
Hurst, Samia
Vayena, Effy
Date Issued

2021-11-15

Publisher

SAGE PUBLICATIONS INC

Published in
Journal Of Empirical Research On Human Research Ethics
Article Number

15562646211053538

Subjects

Ethics

•

Medical Ethics

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Social Sciences - Other Topics

•

big data

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research ethics

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ethics

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irbs

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biomedical research

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responsible research

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health

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consent

•

time

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CDH  
Available on Infoscience
December 4, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/183583
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