Beyond Open Big Data: Addressing Unreliable Research

The National Institute of Health invests US $30.9 billion annually in medical research. However, the subsequent impact of this research output on society and the economy is amplified dramatically as a result of the actual medical treatments, biomedical innovations, and various commercial enterprises...

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Main Authors: Moseley, Edward T, Hsu, Douglas J, Stone, David J, Celi, Leo Anthony
Format: Article
Language:English
Published: JMIR Publications 2014-11-01
Series:Journal of Medical Internet Research
Online Access:http://www.jmir.org/2014/11/e259/
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author Moseley, Edward T
Hsu, Douglas J
Stone, David J
Celi, Leo Anthony
author_facet Moseley, Edward T
Hsu, Douglas J
Stone, David J
Celi, Leo Anthony
author_sort Moseley, Edward T
collection DOAJ
description The National Institute of Health invests US $30.9 billion annually in medical research. However, the subsequent impact of this research output on society and the economy is amplified dramatically as a result of the actual medical treatments, biomedical innovations, and various commercial enterprises that emanate from and depend on these findings. It is therefore a great concern to discover that much of published research is unreliable. We propose extending the open data concept to the culture of the scientific research community. By dialing down unproductive features of secrecy and competition, while ramping up cooperation and transparency, we make a case that what is published would then be less susceptible to the sometimes corrupting and confounding pressures to be first or journalistically attractive, which can compromise the more fundamental need to be robustly correct.
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spelling doaj.art-e6ba3ed3393744559fa630fb6b93f48d2022-12-21T17:43:27ZengJMIR PublicationsJournal of Medical Internet Research1438-88712014-11-011611e25910.2196/jmir.3871Beyond Open Big Data: Addressing Unreliable ResearchMoseley, Edward THsu, Douglas JStone, David JCeli, Leo AnthonyThe National Institute of Health invests US $30.9 billion annually in medical research. However, the subsequent impact of this research output on society and the economy is amplified dramatically as a result of the actual medical treatments, biomedical innovations, and various commercial enterprises that emanate from and depend on these findings. It is therefore a great concern to discover that much of published research is unreliable. We propose extending the open data concept to the culture of the scientific research community. By dialing down unproductive features of secrecy and competition, while ramping up cooperation and transparency, we make a case that what is published would then be less susceptible to the sometimes corrupting and confounding pressures to be first or journalistically attractive, which can compromise the more fundamental need to be robustly correct.http://www.jmir.org/2014/11/e259/
spellingShingle Moseley, Edward T
Hsu, Douglas J
Stone, David J
Celi, Leo Anthony
Beyond Open Big Data: Addressing Unreliable Research
Journal of Medical Internet Research
title Beyond Open Big Data: Addressing Unreliable Research
title_full Beyond Open Big Data: Addressing Unreliable Research
title_fullStr Beyond Open Big Data: Addressing Unreliable Research
title_full_unstemmed Beyond Open Big Data: Addressing Unreliable Research
title_short Beyond Open Big Data: Addressing Unreliable Research
title_sort beyond open big data addressing unreliable research
url http://www.jmir.org/2014/11/e259/
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