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

Research ethics has traditionally been guided by well-established documents such as the Belmont Report and the Declaration of Helsinki. At the same time, the introduction of Big Data methods, that is having a great impact in behavioral research, is raising complex ethical issues that make protection...

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Autores principales: Favaretto, Maddalena, De Clercq, Eva, Gaab, Jens, Elger, Bernice Simone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644008/
https://www.ncbi.nlm.nih.gov/pubmed/33152039
http://dx.doi.org/10.1371/journal.pone.0241865
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author Favaretto, Maddalena
De Clercq, Eva
Gaab, Jens
Elger, Bernice Simone
author_facet Favaretto, Maddalena
De Clercq, Eva
Gaab, Jens
Elger, Bernice Simone
author_sort Favaretto, Maddalena
collection PubMed
description Research ethics has traditionally been guided by well-established documents such as the Belmont Report and the Declaration of Helsinki. At the same time, the introduction of Big Data methods, that is having a great impact in behavioral research, is raising complex ethical issues that make protection of research participants an increasingly difficult challenge. By conducting 39 semi-structured interviews with academic scholars in both Switzerland and United States, our research aims at exploring the code of ethics and research practices of academic scholars involved in Big Data studies in the fields of psychology and sociology to understand if the principles set by the Belmont Report are still considered relevant in Big Data research. Our study shows how scholars generally find traditional principles to be a suitable guide to perform ethical data research but, at the same time, they recognized and elaborated on the challenges embedded in their practical application. In addition, due to the growing introduction of new actors in scholarly research, such as data holders and owners, it was also questioned whether responsibility to protect research participants should fall solely on investigators. In order to appropriately address ethics issues in Big Data research projects, education in ethics, exchange and dialogue between research teams and scholars from different disciplines should be enhanced. In addition, models of consultancy and shared responsibility between investigators, data owners and review boards should be implemented in order to ensure better protection of research participants.
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spelling pubmed-76440082020-11-16 First do no harm: An exploration of researchers’ ethics of conduct in Big Data behavioral studies Favaretto, Maddalena De Clercq, Eva Gaab, Jens Elger, Bernice Simone PLoS One Research Article Research ethics has traditionally been guided by well-established documents such as the Belmont Report and the Declaration of Helsinki. At the same time, the introduction of Big Data methods, that is having a great impact in behavioral research, is raising complex ethical issues that make protection of research participants an increasingly difficult challenge. By conducting 39 semi-structured interviews with academic scholars in both Switzerland and United States, our research aims at exploring the code of ethics and research practices of academic scholars involved in Big Data studies in the fields of psychology and sociology to understand if the principles set by the Belmont Report are still considered relevant in Big Data research. Our study shows how scholars generally find traditional principles to be a suitable guide to perform ethical data research but, at the same time, they recognized and elaborated on the challenges embedded in their practical application. In addition, due to the growing introduction of new actors in scholarly research, such as data holders and owners, it was also questioned whether responsibility to protect research participants should fall solely on investigators. In order to appropriately address ethics issues in Big Data research projects, education in ethics, exchange and dialogue between research teams and scholars from different disciplines should be enhanced. In addition, models of consultancy and shared responsibility between investigators, data owners and review boards should be implemented in order to ensure better protection of research participants. Public Library of Science 2020-11-05 /pmc/articles/PMC7644008/ /pubmed/33152039 http://dx.doi.org/10.1371/journal.pone.0241865 Text en © 2020 Favaretto et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Favaretto, Maddalena
De Clercq, Eva
Gaab, Jens
Elger, Bernice Simone
First do no harm: An exploration of researchers’ ethics of conduct in Big Data behavioral studies
title First do no harm: An exploration of researchers’ ethics of conduct in Big Data behavioral studies
title_full First do no harm: An exploration of researchers’ ethics of conduct in Big Data behavioral studies
title_fullStr First do no harm: An exploration of researchers’ ethics of conduct in Big Data behavioral studies
title_full_unstemmed First do no harm: An exploration of researchers’ ethics of conduct in Big Data behavioral studies
title_short First do no harm: An exploration of researchers’ ethics of conduct in Big Data behavioral studies
title_sort first do no harm: an exploration of researchers’ ethics of conduct in big data behavioral studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644008/
https://www.ncbi.nlm.nih.gov/pubmed/33152039
http://dx.doi.org/10.1371/journal.pone.0241865
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