Time for NIH to lead on data sharing

Time for NIH to lead on data sharing
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NIH 是时候引领数据共享了

DOI:
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发表时间:
2020
期刊:
影响因子:
56.9
通讯作者:
Rebecca Li
Rebecca Li
中科院分区:
综合性期刊1区
文献类型:
--
作者:
I. Sim;M. Stebbins;B. Bierer;A. Butte;J. Drazen;V. Dzau;Adrian F. Hernandez;H. Krumholz;B. Lo;B. Munos;E. Perakslis;F. Rockhold;J. Ross;S. Terry;Keith R. Yamamoto;D. Zarin;Rebecca Li

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政策草案总体上是支持性的,但应该开始强制数据共享全球最大的生物医学研究资助者美国国立卫生研究院 (NIH) 正在消化公众意见,以最终确定数据共享政策。尽管政策草案总体上支持数据共享 (1),但如果我们要共同实现建立在可查找、可访问、可互操作和可重用 (FAIR) (2) 数据共享原则基础上的开放科学的长期愿景,则需要加强政策草案。迄今为止,依靠研究人员自愿共享数据尚未导致广泛的开放科学实践 (3);因此,我们建议 NIH 可以采取措施来领导科学数据共享,最初的重点是临床试验数据共享。
A draft policy is generally supportive but should start mandating data sharing The U.S. National Institutes of Health (NIH), the largest global funder of biomedical research, is in the midst of digesting public comments toward finalizing a data sharing policy. Although the draft policy is generally supportive of data sharing (1), it needs strengthening if we are to collectively achieve a long-standing vision of open science built on the principles of findable, accessible, interoperable, and reusable (FAIR) (2) data sharing. Relying on investigators to voluntarily share data has not, thus far, led to widespread open science practices (3); thus, we suggest steps that NIH could take to lead on scientific data sharing, with an initial focus on clinical trial data sharing.
DOI: 10.1056/nejmsr1611785
发表时间: 2016-11-17
期刊: The New England journal of medicine
影响因子: --
作者:
Zarin DA;Tse T;Williams RJ;Carr S
通讯作者: Carr S