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Trust in Centralized Large-Scale Data Repository: A Qualitative Analysis.
Broekstra, Reinder; Aris-Meijer, Judith; Maeckelberghe, Els; Stolk, Ronald; Otten, Sabine.
Afiliación
  • Broekstra R; University Medical Center Groningen, the Netherlands.
  • Aris-Meijer J; University Medical Center Groningen, the Netherlands.
  • Maeckelberghe E; University Medical Center Groningen, the Netherlands.
  • Stolk R; University Medical Center Groningen, the Netherlands.
  • Otten S; University of Groningen, the Netherlands.
J Empir Res Hum Res Ethics ; 15(4): 365-378, 2020 10.
Article en En | MEDLINE | ID: mdl-31738093
ABSTRACT
Exponential increases in digital data and calls for participation in human research raise questions about when and why individuals voluntarily provide personal data. We conducted 36 in-depth interviews with ex-participants, participants, and nonparticipants in a biobank to identify key factors influencing trust in centralized large-scale data repository for human research. Our findings indicated that trust depends strongly on whether such data repository benefits the public, the interests of data collectors, the characteristics of the collected data, and application of informed consent for retaining control over personal data. Concerns about the aims and range of data repository appeared to influence withdrawal of participation. Our findings underscore ethical and practical issues relating to data collection and consent procedures in human research.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Confianza / Consentimiento Informado Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: J Empir Res Hum Res Ethics Asunto de la revista: ETICA Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Confianza / Consentimiento Informado Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: J Empir Res Hum Res Ethics Asunto de la revista: ETICA Año: 2020 Tipo del documento: Article