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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications Inc.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260008/ https://www.ncbi.nlm.nih.gov/pubmed/25405277 http://dx.doi.org/10.2196/jmir.3871 |
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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 | PubMed |
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. |
format | Online Article Text |
id | pubmed-4260008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | JMIR Publications Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42600082014-12-10 Beyond Open Big Data: Addressing Unreliable Research Moseley, Edward T Hsu, Douglas J Stone, David J Celi, Leo Anthony J Med Internet Res Viewpoint 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. JMIR Publications Inc. 2014-11-11 /pmc/articles/PMC4260008/ /pubmed/25405277 http://dx.doi.org/10.2196/jmir.3871 Text en ©Edward T Moseley, Douglas J Hsu, David J Stone, Leo Anthony Celi. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.11.2014. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Viewpoint Moseley, Edward T Hsu, Douglas J Stone, David J Celi, Leo Anthony Beyond Open Big Data: Addressing Unreliable 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 |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260008/ https://www.ncbi.nlm.nih.gov/pubmed/25405277 http://dx.doi.org/10.2196/jmir.3871 |
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