A best–worst scaling experiment to prioritize concern about ethical issues in citizen science reveals heterogeneity on people-level v. data-level issues

Abstract “Citizen science” refers to the participation of lay individuals in scientific studies and other activities having scientific objectives. Citizen science gives rise to unique ethical issues that stem from the potentially multifaceted contributions of citizen scientists to the research proce...

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Autores principales:	Christi J. Guerrini, Norah L. Crossnohere, Lisa Rasmussen, John F. P. Bridges
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4952b1ef11ea45ed9cf8660bcd7e049c
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spelling	oai:doaj.org-article:4952b1ef11ea45ed9cf8660bcd7e049c2021-12-02T18:51:14ZA best–worst scaling experiment to prioritize concern about ethical issues in citizen science reveals heterogeneity on people-level v. data-level issues10.1038/s41598-021-96743-42045-2322https://doaj.org/article/4952b1ef11ea45ed9cf8660bcd7e049c2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96743-4https://doaj.org/toc/2045-2322Abstract “Citizen science” refers to the participation of lay individuals in scientific studies and other activities having scientific objectives. Citizen science gives rise to unique ethical issues that stem from the potentially multifaceted contributions of citizen scientists to the research process. We sought to explore the ethical issues that are most concerning to citizen scientist practitioners, participants, and scholars to support ethical practices in citizen science. We developed a best–worst scaling experiment using a balanced incomplete block design and fielded it with respondents recruited through the U.S.-based Citizen Science Association. Respondents were shown repeated subsets of 11 ethical issues and identified the most and least concerning issues in each subset. Latent class analysis revealed two respondent classes. The “Power to the People” class was most concerned about power imbalance between project leaders and participants, exploitation of participants, and lack of diverse participation. The “Show Me the Data” class was most concerned about the quality of data generated by citizen science projects and failure of projects to share data and other research outputs.Christi J. GuerriniNorah L. CrossnohereLisa RasmussenJohn F. P. BridgesNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Christi J. Guerrini Norah L. Crossnohere Lisa Rasmussen John F. P. Bridges A best–worst scaling experiment to prioritize concern about ethical issues in citizen science reveals heterogeneity on people-level v. data-level issues
description	Abstract “Citizen science” refers to the participation of lay individuals in scientific studies and other activities having scientific objectives. Citizen science gives rise to unique ethical issues that stem from the potentially multifaceted contributions of citizen scientists to the research process. We sought to explore the ethical issues that are most concerning to citizen scientist practitioners, participants, and scholars to support ethical practices in citizen science. We developed a best–worst scaling experiment using a balanced incomplete block design and fielded it with respondents recruited through the U.S.-based Citizen Science Association. Respondents were shown repeated subsets of 11 ethical issues and identified the most and least concerning issues in each subset. Latent class analysis revealed two respondent classes. The “Power to the People” class was most concerned about power imbalance between project leaders and participants, exploitation of participants, and lack of diverse participation. The “Show Me the Data” class was most concerned about the quality of data generated by citizen science projects and failure of projects to share data and other research outputs.
format	article
author	Christi J. Guerrini Norah L. Crossnohere Lisa Rasmussen John F. P. Bridges
author_facet	Christi J. Guerrini Norah L. Crossnohere Lisa Rasmussen John F. P. Bridges
author_sort	Christi J. Guerrini
title	A best–worst scaling experiment to prioritize concern about ethical issues in citizen science reveals heterogeneity on people-level v. data-level issues
title_short	A best–worst scaling experiment to prioritize concern about ethical issues in citizen science reveals heterogeneity on people-level v. data-level issues
title_full	A best–worst scaling experiment to prioritize concern about ethical issues in citizen science reveals heterogeneity on people-level v. data-level issues
title_fullStr	A best–worst scaling experiment to prioritize concern about ethical issues in citizen science reveals heterogeneity on people-level v. data-level issues
title_full_unstemmed	A best–worst scaling experiment to prioritize concern about ethical issues in citizen science reveals heterogeneity on people-level v. data-level issues
title_sort	best–worst scaling experiment to prioritize concern about ethical issues in citizen science reveals heterogeneity on people-level v. data-level issues
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4952b1ef11ea45ed9cf8660bcd7e049c
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A best–worst scaling experiment to prioritize concern about ethical issues in citizen science reveals heterogeneity on people-level v. data-level issues

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