Making neurophysiological data analysis reproducible: Why and how?
Making neurophysiological data analysis reproducible: Why and how?
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DOI：
10.1016/j.jphysparis.2011.09.011
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发表时间：
2012-05-01
影响因子：
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通讯作者：
Pouzat, Christophe
中科院分区：
文献类型：
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作者：
Delescluse, Matthieu;Franconville, Romain;Pouzat, Christophe
可复制数据分析是一种旨在补充经典印刷科学论文所需的一切以独立复制它们所呈现的结果的方法。“一切”在这里涵盖：数据、计算机代码以及代码是如何应用于数据的精确描述。首先介绍这种方法的简要历史，开始是经济学家自80年代初以来一直称为重复的方法，最后是统计和信号处理等面向计算数据分析的领域现在所称的可重复研究。由于有效的工具对于这些方法的常规实现是非常重要的，下面将介绍一些可用的工具。然后，一个玩具示例演示了如何使用两个开源软件程序进行可重现的数据分析：“Sweave Family”和组织模式的emacs。前者与R捆绑在一起，而后者可以与R、MatLab、Python和更多的“多面手”数据处理软件一起使用。这两种解决方案都可以在类Unix、Windows和Mac系列操作系统上使用，有人认为，神经科学家可以通过采用从实验室书籍一直到他们的文章、论文和书籍的可重复研究范式，更有效地交流他们的结果。(C)2011爱思唯尔有限公司。保留所有权利。
Reproducible data analysis is an approach aiming at complementing classical printed scientific articles with everything required to independently reproduce the results they present. "Everything" covers here: the data, the computer codes and a precise description of how the code was applied to the data. A brief history of this approach is presented first, starting with what economists have been calling replication since the early eighties to end with what is now called reproducible research in computational data analysis oriented fields like statistics and signal processing. Since efficient tools are instrumental for a routine implementation of these approaches, a description of some of the available ones is presented next. A toy example demonstrates then the use of two open source software programs for reproducible data analysis: the "sweave family" and the org-mode of emacs. The former is bound to R while the latter can be used with R, Matlab, Python and many more "generalist" data processing software. Both solutions can be used with Unix-like, Windows and Mac families of operating systems, It is argued that neuroscientists could communicate much more efficiently their results by adopting the reproducible research paradigm from their lab books all the way to their articles, thesis and books. (C) 2011 Elsevier Ltd. All rights reserved.