TelematiV1, Ncbi, Checkpoint, bibRecord, 000A85

Beyond Open Big Data: Addressing Unreliable Research

Identifieur interne : 000A85 ( Ncbi/Checkpoint ); précédent : 000A84; suivant : 000A86

Beyond Open Big Data: Addressing Unreliable Research

Auteurs :

Source :

Journal of Medical Internet Research [ 1439-4456 ] ; 2014.

RBID : PMC:4260008

Abstract

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.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260008

DOI: 10.2196/jmir.3871
PubMed: 25405277
PubMed Central: 4260008

Affiliations:

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PMC:4260008

Le document en format XML

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<front><div type="abstract" xml:lang="en"><p>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.</p>
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Beyond Open Big Data: Addressing Unreliable Research

Beyond Open Big Data: Addressing Unreliable Research

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Abstract

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