Working Through Ethics Review of Big Data Research Projects

An Investigation into the Experiences of Swiss and American Researchers

Datos Bibliográficos

ID12807275
AutoresMaddalena Favaretto (0000-0003-2647-301X, University of Basel, autor de correspondencia), Eva De Clercq (0000-0002-7835-9553, University of Basel), Matthias Briel (0000-0002-2070-5230, University Hospital of Basel), Bernice S Elger (0000-0002-4249-7399, University of Basel)
Año2020
Volumen15
Número4
Páginas339-354
Fecha de publicación2020-06-19
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Empirical Research on Human Research Ethics (JOURNAL)
Identificadores de la revistaISSN: 1556-2646 • E-ISSN: 1556-2654
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/1556264620935223
PMID32552544
OpenAlexW3036941023
IdiomaEN
Citas recibidas7
Referencias citadas46

The employment of Big Data as an increasingly used research method has introduced novel challenges to ethical research practices and to ethics committees (ECs) globally. The aim of this study is to explore the experiences of scholars with ECs in the ethical evaluation of Big Data projects. Thirty-five interviews were performed with Swiss and American researchers involved in Big Data research in psychology and sociology. The interviews were analyzed using thematic coding. Our respondents reported lack of support from ECs, absence of appropriate expertise among members of the boards, and lack of harmonized evaluation criteria between committees. To implement ECs practices we argue for updating the expertise of board members and the institution of a consultancy model between researchers and ECs

Big data · Engineering ethics · Ethics committee · Institution · Political science · Public relations · Qualitative research · Research ethics · Research integrity · Social science · Sociology · Thematic analysis · Computer Science · Engineering · Ethics and Social Impacts of AI · Ethics in Clinical Research · Psychology · Public Administration · Risk Perception and Management