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大脑成像数据结构 (BIDS) 的过去,现在和未来

Russell A Poldrack¹, Christopher J Markiewicz¹, Stefan Appelhoff²

¹Department of Psychology, Stanford University, Stanford, CA, United States.

Imaging neuroscience (Cambridge, Mass.)

|September 23, 2024

概括

大脑成像数据结构 (BIDS) 提供了一种标准化的方式来组织神经科学数据. 这篇论文详细介绍了BIDS.

科学领域:

神经科学是一个神经科学.
数据科学数据科学数据科学
科学标准化科学标准化

背景情况:

神经科学研究产生复杂的多模式数据.
缺乏标准化的数据组织阻碍了数据共享和可重复性.
脑成像数据结构 (BIDS) 出现在应对这些挑战.

研究的目的:

提供脑成像数据结构 (BIDS) 发展的历史记录.
概述BIDS的核心原则和扩展机制.
为其他研究领域分享从BIDS学到的经验教训.

主要方法:

关于BIDS演变的历史综述.
分析BIDS扩展的原则和挑战.
讨论BIDS项目的可转移经验教训.

主要成果:

BIDS已经发展成为一个全面的,社区驱动的神经科学数据标准.
已确立的原则促进了BIDS在多种方式上的可扩展性.
持续的挑战包括社区参与和适应新数据类型.

结论:

在科学研究中,BIDS是数据标准化的成功模式.
该项目的历史为开发其他领域类似标准提供了有价值的见解.
持续的社区参与对于BIDS未来的增长和影响至关重要.

关键词:

数据组织数据组织数据组织神经成像是一种神经成像.神经信息学是一种神经信息学.标准标准标准标准标准

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