Beyond Open Big Data: Addressing Unreliable Research
Beyond Open Big Data: Addressing Unreliable Research
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DOI：
10.2196/jmir.3871
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发表时间：
2014-11-01
影响因子：
7.4
通讯作者：
Celi, Leo Anthony
中科院分区：
文献类型：
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作者：
Moseley, Edward T.;Hsu, Douglas J.;Celi, Leo Anthony
美国国家卫生研究院每年在医学研究上投入309亿美元。然而，这项研究成果随后对社会和经济的影响被戏剧性地放大，因为实际的医疗、生物医学创新以及源于这些发现并依赖于这些发现的各种商业企业。因此，发现许多已发表的研究是不可靠的，这是一个非常令人担忧的问题。我们建议将开放数据的概念扩展到科学研究社区的文化中。通过减少保密和竞争的非生产性特征，同时加强合作和透明度，我们提出的理由是，发表的内容将不太容易受到有时腐败和混乱的压力的影响，这些压力要求首先或在新闻上具有吸引力，这可能会损害更根本的正确需求。
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.