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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, USA.

|September 25, 2023

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它的历史,进化和经验教训,以便更广泛地共享科学数据.

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:

大脑成像数据结构 (BIDS) 是一个社区开发的组织神经科学数据的标准.
它解决了在各种神经成像模式中对一致数据和元数据的需求.
BIDS促进了大脑研究中的数据共享和可重复性.

研究的目的:

提供BIDS标准的发展和增长的历史记录.
概述BIDS发展中的核心原则,扩展机制和挑战.
分享从BIDS项目中学到的经验教训,使其有利于其他研究领域.

主要方法:

关于BIDS倡议的历史回顾.
分析BIDS原则和扩展战略.
讨论BIDS面临的挑战和未来发展方向.

主要成果:

BIDS已经发展成为神经科学数据组织的广泛采用的标准.
该项目建立了社区驱动的扩展和适应机制.
关键的挑战包括新模式的持续标准化和确保广泛采用.

结论:

BIDS标准成功地促进了神经科学中的数据组织和共享.
从BIDS发展的教训可以为其他科学领域的标准化工作提供信息.
持续的社区参与对于BIDS的未来增长和成功至关重要.

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