数据共享
数据整理
开放科学
数据科学
计算机科学
打开数据
模式
神经影像学
重新使用
数据类型
研究数据
神经信息学
资源(消歧)
万维网
心理学
神经科学
医学
工程类
程序设计语言
替代医学
社会学
病理
废物管理
物理
社会科学
计算机网络
天文
作者
Chris Markiewicz,Krzysztof J. Gorgolewski,Franklin Feingold,Ross Blair,Yaroslav O. Halchenko,Éric Miller,Nell Hardcastle,Joe Wexler,Oscar Estéban,Mathias Goncalves,Jwa As,Russ Poldrack
标识
DOI:10.1101/2021.06.28.450168
摘要
Abstract The sharing of research data is essential to ensure reproducibility and maximize the impact of public investments in scientific research. Here we describe OpenNeuro, a BRAIN Initiative data archive that provides the ability to openly share data from a broad range of brain imaging data types following the FAIR principles for data sharing. We highlight the importance of the Brain Imaging Data Structure (BIDS) standard for enabling effective curation, sharing, and reuse of data. The archive presently shares more than 600 datasets including data from more than 20,000 participants, comprising multiple species and measurement modalities and a broad range of phenotypes. The impact of the shared data is evident in a growing number of published reuses, currently totalling more than 150 publications. We conclude by describing plans for future development and integration with other ongoing open science efforts.
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