Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Working Through Ethics Review of Big Data Research Projects: An Investigation into the Experiences of Swiss and American Researchers
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4604079
Author(s) Favaretto, Maddalena; De Clercq, Eva; Briel, Matthias; Elger, Bernice Simone
Author(s) at UniBasel Favaretto, Maddalena
De Clercq, Eva
Briel, Matthias
Elger, Bernice Simone
Year 2020
Title Working Through Ethics Review of Big Data Research Projects: An Investigation into the Experiences of Swiss and American Researchers
Journal Journal of Empirical Research on Human Research Ethics
Volume 15
Number 4
Pages / Article-Number 339-354
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.
Publisher Sage
ISSN/ISBN 1556-2646 ; 1556-2654
edoc-URL https://edoc.unibas.ch/78616/
Full Text on edoc No
Digital Object Identifier DOI 10.1177/1556264620935223
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/32552544
ISI-Number WOS:000542335900001
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.345 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
24/04/2024