Making big data open: data sharing in neuroimaging

被引：259
|
作者：
Poldrack, Russell A. [1 ]
Gorgolewski, Krzysztof J. [1 ,2 ]
机构：
[1] Stanford Univ, Dept Psychol, Stanford, CA 94305 USA
[2] Max Planck Inst Human Cognit & Brain Sci, Max Planck Res Grp Neuroanat & Connect, Leipzig, Germany
来源：
NATURE NEUROSCIENCE | 2014年 / 17卷 / 11期
基金：
美国国家科学基金会;
关键词：
HUMAN CONNECTOME PROJECT; CIRCULAR ANALYSIS; BRAIN; FMRI; NEUROSCIENCE; FLEXIBILITY; PSYCHOLOGY; FRAMEWORK; TIME;
D O I：
10.1038/nn.3818
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
In the last decade, major advances have been made in the availability of shared neuroimaging data, such that there are more than 8,000 shared MRI (magnetic resonance imaging) data sets available online. Here we outline the state of data sharing for task-based functional MRI (fMRI) data, with a focus on various forms of data and their relative utility for subsequent analyses. We also discuss challenges to the future success of data sharing and highlight the ethical argument that data sharing may be necessary to maximize the contribution of human subjects.
引用
收藏
页码：1510 / 1517
页数：8
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