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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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JMIR Publications
2014-11-01
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Series: | Journal of Medical Internet Research |
Online Access: | http://www.jmir.org/2014/11/e259/ |
_version_ | 1819241992309178368 |
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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. |
first_indexed | 2024-12-23T14:32:43Z |
format | Article |
id | doaj.art-e6ba3ed3393744559fa630fb6b93f48d |
institution | Directory Open Access Journal |
issn | 1438-8871 |
language | English |
last_indexed | 2024-12-23T14:32:43Z |
publishDate | 2014-11-01 |
publisher | JMIR Publications |
record_format | Article |
series | Journal of Medical Internet Research |
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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