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OpenNeuro 资源,用于分享神经科学数据。

The OpenNeuro resource for sharing of neuroscience data.

机构信息

Department of Psychology, Stanford University, Stanford, United States.

Department of Psychological & Brain Sciences, Dartmouth College, Hanover, United States.

出版信息

Elife. 2021 Oct 18;10:e71774. doi: 10.7554/eLife.71774.

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 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.

摘要

研究数据的共享对于确保可重复性和最大限度地提高公共投资于科学研究的效果至关重要。在这里,我们描述了 OpenNeuro,这是一个 BRAIN 计划数据档案,它提供了在符合 FAIR 数据共享原则的情况下,从广泛的脑成像数据类型中公开共享数据的能力。我们强调了 Brain Imaging Data Structure 标准对于有效策展、共享和重用数据的重要性。该档案目前共享了超过 600 个数据集,其中包括来自超过 20000 名参与者的数据,涵盖了多个物种和测量方式以及广泛的表型。共享数据的影响在越来越多的已发布的再利用中显而易见,目前总计超过 150 篇出版物。最后,我们描述了未来的发展计划以及与其他正在进行的开放科学努力的整合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/218c/8550750/cdabad15db53/elife-71774-fig1.jpg

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