Your browser doesn't support javascript.
loading
The Challenges of Big Data for Research Ethics Committees: A Qualitative Swiss Study.
Ferretti, Agata; Ienca, Marcello; Velarde, Minerva Rivas; Hurst, Samia; Vayena, Effy.
Afiliación
  • Ferretti A; Health Ethics and Policy Lab, Department of Health Sciences and Technology, 27219ETH Zürich, Switzerland.
  • Ienca M; Health Ethics and Policy Lab, Department of Health Sciences and Technology, 27219ETH Zürich, Switzerland.
  • Velarde MR; College of Humanities, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland.
  • Hurst S; Department of Radiology and Medical Informatics, Faculty of Medicine, 27212University of Geneva, Switzerland.
  • Vayena E; Institute for Ethics, History, and the Humanities, Faculty of Medicine, 27212University of Geneva, Switzerland.
J Empir Res Hum Res Ethics ; 17(1-2): 129-143, 2022.
Article en En | MEDLINE | ID: mdl-34779661
ABSTRACT
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.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Comités de Ética en Investigación / Macrodatos Tipo de estudio: Guideline / Qualitative_research Límite: Humans País/Región como asunto: Europa Idioma: En Revista: J Empir Res Hum Res Ethics Asunto de la revista: ETICA Año: 2022 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Comités de Ética en Investigación / Macrodatos Tipo de estudio: Guideline / Qualitative_research Límite: Humans País/Región como asunto: Europa Idioma: En Revista: J Empir Res Hum Res Ethics Asunto de la revista: ETICA Año: 2022 Tipo del documento: Article País de afiliación: Suiza