Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging
Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging
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DOI：
10.3389/fninf.2019.00001
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发表时间：
2019-02-07
影响因子：
3.5
通讯作者：
Travers, Matt
中科院分区：
文献类型：
--
作者：
Kennedy, David N.;Abraham, Sanu A.;Travers, Matt
最近，在许多科学领域，人们对可重复性的关注急剧增加。在神经影像学领域，一种促进可重复性的方法是以出版物的可重复执行性为目标。支持这种可重复执行性的信息可以使得能够以受控的科学方式详细检查初始发现如何在处理方法和采样群体的变化中推广。ReproNim：可再现神经成像计算中心是最近资助的一项倡议，旨在促进核心可重复执行工具的“最后一英里”实现，以减少可访问性障碍，并增加神经成像研究实验室水平的标准和最佳实践的采用。在本报告中，我们总结了我们在这一领域开发的整体方法和工具。
There has been a recent major upsurge in the concerns about reproducibility in many areas of science. Within the neuroimaging domain, one approach is to promote reproducibility is to target the re-executability of the publication. The information supporting such re-executability can enable the detailed examination of how an initial finding generalizes across changes in the processing approach, and sampled population, in a controlled scientific fashion. ReproNim: A Center for Reproducible Neuroimaging Computation is a recently funded initiative that seeks to facilitate the "last mile" implementations of core re-executability tools in order to reduce the accessibility barrier and increase adoption of standards and best practices at the neuroimaging research laboratory level. In this report, we summarize the overall approach and tools we have developed in this domain.