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2567 OHRP meets ToS: Cloud-based technologies in human subject research

OBJECTIVES/SPECIFIC AIMS: To identify new ethical challenges in human subject research related to the use of cloud-based platforms for data collection. METHODS/STUDY POPULATION: Ethical analysis. RESULTS/ANTICIPATED RESULTS: The OHRP regulations protecting the data, privacy and confidentiality of hu...

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Autor principal: Pascalev, Assya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798541/
http://dx.doi.org/10.1017/cts.2018.294
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author Pascalev, Assya
author_facet Pascalev, Assya
author_sort Pascalev, Assya
collection PubMed
description OBJECTIVES/SPECIFIC AIMS: To identify new ethical challenges in human subject research related to the use of cloud-based platforms for data collection. METHODS/STUDY POPULATION: Ethical analysis. RESULTS/ANTICIPATED RESULTS: The OHRP regulations protecting the data, privacy and confidentiality of human subjects and the Terms of Service regulations governing data use by cloud-based platforms are vastly different. The gap between these 2 sets of laws and regulations leaves human subjects vulnerable to harm during the data collection process via clod-based tools. DISCUSSION/SIGNIFICANCE OF IMPACT: Recognizing the risks related to data gathering via cloud-based platforms, and educating researchers and research subjects about these risks and how to minimize them will strengthen the protections of participants and will enhance the informed consent process resulting in increased trust and greater willingness to participate in human subject research.
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spelling pubmed-67985412019-10-28 2567 OHRP meets ToS: Cloud-based technologies in human subject research Pascalev, Assya J Clin Transl Sci Science and Health Policy/Ethics/Health Impacts/Outcomes Research OBJECTIVES/SPECIFIC AIMS: To identify new ethical challenges in human subject research related to the use of cloud-based platforms for data collection. METHODS/STUDY POPULATION: Ethical analysis. RESULTS/ANTICIPATED RESULTS: The OHRP regulations protecting the data, privacy and confidentiality of human subjects and the Terms of Service regulations governing data use by cloud-based platforms are vastly different. The gap between these 2 sets of laws and regulations leaves human subjects vulnerable to harm during the data collection process via clod-based tools. DISCUSSION/SIGNIFICANCE OF IMPACT: Recognizing the risks related to data gathering via cloud-based platforms, and educating researchers and research subjects about these risks and how to minimize them will strengthen the protections of participants and will enhance the informed consent process resulting in increased trust and greater willingness to participate in human subject research. Cambridge University Press 2018-11-21 /pmc/articles/PMC6798541/ http://dx.doi.org/10.1017/cts.2018.294 Text en © The Association for Clinical and Translational Science 2018 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Science and Health Policy/Ethics/Health Impacts/Outcomes Research
Pascalev, Assya
2567 OHRP meets ToS: Cloud-based technologies in human subject research
title 2567 OHRP meets ToS: Cloud-based technologies in human subject research
title_full 2567 OHRP meets ToS: Cloud-based technologies in human subject research
title_fullStr 2567 OHRP meets ToS: Cloud-based technologies in human subject research
title_full_unstemmed 2567 OHRP meets ToS: Cloud-based technologies in human subject research
title_short 2567 OHRP meets ToS: Cloud-based technologies in human subject research
title_sort 2567 ohrp meets tos: cloud-based technologies in human subject research
topic Science and Health Policy/Ethics/Health Impacts/Outcomes Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798541/
http://dx.doi.org/10.1017/cts.2018.294
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