Sweat, Skepticism, and Uncharted Territory: A Qualitative Study of Opinions on Data Sharing Among Public Health Researchers and Research Participants in Mumbai, India.

Autor:	Hate K; Society for Nutrition, Education and Health Action, Mumbai, India., Meherally S; Society for Nutrition, Education and Health Action, Mumbai, India., Shah More N; Society for Nutrition, Education and Health Action, Mumbai, India., Jayaraman A; Society for Nutrition, Education and Health Action, Mumbai, India., Bull S; University of Oxford, UK., Parker M; University of Oxford, UK., Osrin D; UCL Institute for Global Health, London, UK d.osrin@ucl.ac.uk.
Jazyk:	angličtina
Zdroj:	Journal of empirical research on human research ethics : JERHRE [J Empir Res Hum Res Ethics] 2015 Jul; Vol. 10 (3), pp. 239-50.
DOI:	10.1177/1556264615592383
Abstrakt:	Efforts to internalize data sharing in research practice have been driven largely by developing international norms that have not incorporated opinions from researchers in low- and middle-income countries. We sought to identify the issues around ethical data sharing in the context of research involving women and children in urban India. We interviewed researchers, managers, and research participants associated with a Mumbai non-governmental organization, as well as researchers from other organizations and members of ethics committees. We conducted 22 individual semi-structured interviews and involved 44 research participants in focus group discussions. We used framework analysis to examine ideas about data and data sharing in general; its potential benefits or harms, barriers, obligations, and governance; and the requirements for consent. Both researchers and participants were generally in favor of data sharing, although limited experience amplified their reservations. We identified three themes: concerns that the work of data producers may not receive appropriate acknowledgment, skepticism about the process of sharing, and the fact that the terrain of data sharing was essentially uncharted and confusing. To increase data sharing in India, we need to provide guidelines, protocols, and examples of good practice in terms of consent, data preparation, screening of applications, and what individuals and organizations can expect in terms of validation, acknowledgment, and authorship. (© The Author(s) 2015.)
Databáze:	MEDLINE
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