Highlights from the Era of Open Source Web-Based Tools

被引:13
作者
Anderson, Kristin R. [1 ,2 ,3 ,4 ,5 ,6 ]
Harris, Julie A. [7 ]
Ng, Lydia [7 ]
Prins, Pjotr [8 ]
Memar, Sara [9 ]
Ljungquist, Bengt [10 ,11 ]
Furth, Daniel [12 ]
Williams, Robert W. [8 ]
Ascoli, Giorgio A. [10 ,11 ]
Dumitriu, Dani [1 ,2 ,3 ,4 ,5 ,6 ]
机构
[1] Columbia Univ, Dept Pediat, New York, NY 10032 USA
[2] Columbia Univ, Dept Psychiat, New York, NY 10032 USA
[3] New York State Psychiat Inst & Hosp, Div Dev Psychobiol, New York, NY 10032 USA
[4] Columbia Univ, Sackler Inst Dev Psychobiol, New York, NY 10032 USA
[5] Columbia Univ, Columbia Populat Res Ctr, New York, NY 10027 USA
[6] Columbia Univ, Zuckerman Inst, New York, NY 10027 USA
[7] Allen Inst Brain Sci, Seattle, WA 98109 USA
[8] Univ Tennessee, Hlth Sci Ctr, Ctr Integrat & Translat Genom, Dept Genet Genom & Informat, Memphis, TN 38163 USA
[9] Western Univ, Schulich Sch Med & Dent, Robarts Res Inst, BrainsCAN, London, ON N6A 3K7, Canada
[10] George Mason Univ, Ctr Neural Informat Struct & Plastic, Krasnow Inst Adv Study & Dept Bioengn, Fairfax, VA 22030 USA
[11] George Mason Univ, Volgenau Sch Engn, Dept Bioengn, Fairfax, VA 22030 USA
[12] Cold Spring Harbor Lab, POB 100, Cold Spring Harbor, NY 11724 USA
基金
美国国家卫生研究院;
关键词
online repositories; open access; open science; open source; neuroscience; web-based tools; RESEARCH DOMAIN CRITERIA; DIGITAL RECONSTRUCTIONS; GENE-EXPRESSION; BRAIN; FRAMEWORK; CONNECTIVITY; RDOC; NEUROSCIENCE; CONNECTOME; SYSTEM;
D O I
10.1523/JNEUROSCI.1657-20.2020
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
High digital connectivity and a focus on reproducibility are contributing to an open science revolution in neuroscience. Repositories and platforms have emerged across the whole spectrum of subdisciplines, paving the way for a paradigm shift in the way we share, analyze, and reuse vast amounts of data collected across many laboratories. Here, we describe how open access web-based tools are changing the landscape and culture of neuroscience, highlighting six free resources that span subdisciplines from behavior to whole-brain mapping, circuits, neurons, and gene variants.
引用
收藏
页码:927 / 936
页数:10
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