Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the complexity of the data pipeline has also increased, hindering access to FAIR data analysis to portions of the worldwide research community. brainlife.io was developed to reduce these burdens and democratize modern neuroscience research across institutions and career levels. Using community software and hardware infrastructure, the platform provides open-source data standardization, management, visualization, and processing and simplifies the data pipeline. brainlife.io automatically tracks the provenance history of thousands of data objects, supporting simplicity, efficiency, and transparency in neuroscience research. Here brainlife.io's technology and data services are described and evaluated for validity, reliability, reproducibility, replicability, and scientific utility. Using data from 4 modalities and 3,200 participants, we demonstrate that brainlife.io's services produce outputs that adhere to best practices in modern neuroscience research.

翻译：过去30年来，神经科学研究通过推进标准化和工具开发以支持严谨性与透明度，取得了显著扩展。然而，数据处理管道的复杂性也随之增加，阻碍了全球研究界部分群体对FAIR数据分析的获取。brainlife.io旨在减轻这些负担，并让现代神经科学研究惠及不同机构与职业层级的研究人员。该平台依托社区软件和硬件基础设施，提供开源数据标准化、管理、可视化与处理功能，同时简化数据管道。brainlife.io自动追踪数千个数据对象的来源历史，从而支持神经科学研究的简洁性、高效性与透明度。本文对brainlife.io的技术与数据服务进行了描述，并从有效性、可靠性、可重复性、可再现性及科学实用性角度进行了评估。利用来自4种模态和3200名参与者的数据，我们证明了brainlife.io的服务所生成的输出结果符合现代神经科学研究的最佳实践。