确保生物医学研究可重复性的方法。
METHODS TO ENSURE THE REPRODUCIBILITY OF BIOMEDICAL RESEARCH.
作者信息
Karczewski Konrad J, Tatonetti Nicholas P, Manrai Arjun K, Patel Chirag J, Titus Brown C, Ioannidis John P A
机构信息
Massachusetts General Hospital, Boston, MA, USA2Broad Institute, Cambridge, MA, USA,
出版信息
Pac Symp Biocomput. 2017;22:117-119. doi: 10.1142/9789813207813_0012.
Science is not done in a vacuum - across fields of biomedicine, scientists have built on previous research and used data published in previous papers. A mainstay of scientific inquiry is the publication of one's research and recognition for this work is given in the form of citations and notoriety - ideally given in proportion to the quality of the work. Academic incentives, however, may encourage individual researchers to prioritize career ambitions over scientific truth. Recently, the New England Journal of Medicine published a commentary calling scientists who repurpose data "research parasites" who misuse data generated by others to demonstrate alternative hypotheses. In our opinion, the concept of data hoarding not only runs contrary to the spirit of, but also hinders scientific progress. Scientific research is meant to seek objective truth, rather than promote a personal agenda, and the only way to do so is through maximum transparency and reproducibility, no matter who is using the data….
科学并非在真空中进行——在生物医学的各个领域，科学家们都在前人研究的基础上开展工作，并使用先前论文中发表的数据。科学探究的一个主要支柱是发表自己的研究成果，而对这项工作的认可则以引用和知名度的形式体现——理想情况下，认可程度与工作质量成正比。然而，学术激励措施可能会促使个别研究人员将职业抱负置于科学真理之上。最近，《新英格兰医学杂志》发表了一篇评论文章，称那些重新利用数据的科学家为“研究寄生虫”，他们滥用他人生成的数据来证明其他假设。在我们看来，数据囤积的概念不仅违背了科学精神，而且还阻碍了科学进步。科学研究旨在寻求客观真理，而不是推动个人议程，而做到这一点的唯一方法就是通过最大程度的透明度和可重复性，无论谁在使用这些数据……
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