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Presentation . 2018
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Presentation . 2018
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Other literature type . 2018
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Shifting the consensus on sharing sensitive data

Authors: Diana Kapiszewski; Dessislava Kirilova; Christiane Page;

Shifting the consensus on sharing sensitive data

Abstract

Researchers who work with human participants face competing mandates. Funding organizations increasingly require applicants to develop data management plans that discuss data sharing. Journals increasingly require that authors make accessible the data underlying articles. Institutional Review Boards (IRBs), in contrast, neither encourage scholars to discuss data sharing with study participants nor discourage the withholding of data. Because funders and publishers often defer to IRB mandates, data generated through interaction with human participants -- including data that could be unproblematically shared -- are often only available to the researcher who collected them. We report on two workshops for IRB personnel (a third is planned for May 2018), and a study we conducted of the guidance offered by 50 IRBs at R1 highest research activity universities. While workshop attendees have been open to the ethical sharing of research data, our initial analysis suggests that IRB guidelines rarely mention data sharing. We also propose guidance and informed consent language that anticipate data sharing, around which we seek to build consensus among IRBs.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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