Literature DB >> 32552544

Working Through Ethics Review of Big Data Research Projects: An Investigation into the Experiences of Swiss and American Researchers.

Maddalena Favaretto1, Eva De Clercq1, Matthias Briel2, Bernice Simone Elger1.   

Abstract

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.

Keywords:  Big Data; Ethics Committee/IRB review; ethics; regulation; research

Year:  2020        PMID: 32552544     DOI: 10.1177/1556264620935223

Source DB:  PubMed          Journal:  J Empir Res Hum Res Ethics        ISSN: 1556-2646            Impact factor:   1.742


  3 in total

1.  Ethical Issues in Social Science Research Employing Big Data.

Authors:  Mohammad Hosseini; Michał Wieczorek; Bert Gordijn
Journal:  Sci Eng Ethics       Date:  2022-06-15       Impact factor: 3.777

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

Authors:  Agata Ferretti; Marcello Ienca; Minerva Rivas Velarde; Samia Hurst; Effy Vayena
Journal:  J Empir Res Hum Res Ethics       Date:  2021-11-15       Impact factor: 1.742

3.  First do no harm: An exploration of researchers' ethics of conduct in Big Data behavioral studies.

Authors:  Maddalena Favaretto; Eva De Clercq; Jens Gaab; Bernice Simone Elger
Journal:  PLoS One       Date:  2020-11-05       Impact factor: 3.240

  3 in total

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