促进神经科学领域中计算机代码和程序共享的标准实践。
Toward standard practices for sharing computer code and programs in neuroscience.
机构信息
Cambridge Computational Biology Institute, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.
Department of Anthropology, University of Washington, Seattle, Washington, USA.
出版信息
Nat Neurosci. 2017 May 25;20(6):770-773. doi: 10.1038/nn.4550.
Abstract
Computational techniques are central in many areas of neuroscience, and are relatively easy to share. This paper describes why computer programs underlying scientific publications should be shared, and lists simple steps for sharing. Together with ongoing efforts in data sharing, this should aid reproducibility of research.
摘要
计算技术在神经科学的许多领域中都占据核心地位，而且相对来说易于共享。本文阐述了为什么要分享科学出版物背后的计算机程序，并列出了共享的简单步骤。结合正在进行的数据共享努力，这将有助于研究成果的可重复性。
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