神经影像学
数据共享
利用
最佳实践
开放科学
透明度(行为)
数据科学
集合(抽象数据类型)
计算机科学
神经功能成像
心理学
神经科学
医学
政治学
病理
计算机安全
物理
替代医学
天文
法学
程序设计语言
作者
Thomas E. Nichols,Samir Das,Simon B. Eickhoff,Alan C. Evans,Tristan Glatard,Michael Hanke,Nikolaus Kriegeskorte,Michael P. Milham,Russell A. Poldrack,Jean‐Baptiste Poline,Erika Proal,Bertrand Thirion,David C. Van Essen,Tonya White,B.T. Thomas Yeo
摘要
Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, reliability and collaboration. We describe insights from developing a set of recommendations on behalf of the Organization for Human Brain Mapping and identify barriers that impede these practices, including how the discipline must change to fully exploit the potential of the world's neuroimaging data.
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