OpenNeuro: An open archive for analysis and sharing of BRAIN Initiative data

项目 总结/摘要 美国国立卫生研究院脑计划正在支持广泛的神经科学研究组合，旨在 彻底改变了我们对大脑的理解 分享从这项研究中获得的数据 对于利用这一重大公共投资和确保严格和 NIH资助的研究的可重复性。 我们建议扩展到现有的OpenNeuro数据 存档，以便为神经成像的存储、处理和共享提供平台 作为BRAIN计划的一部分收集的数据。OpenNeuro扩展了成功的OpenfMRI 通过包含更广泛的神经成像数据，并通过提供以下能力， 直接在平台上运行数据处理工作流（使用云计算 资源），并与数据一起共享这些工作流的结果。平台聚焦 通过使用版本化和容器化的分析工作流程， 应用于快照数据发布。拟议的项目将为分析提供支持， 和分享来自BRAIN Initiative项目以及其他感兴趣的项目的数据。在 除了这个基础设施，该项目的目标是开发一个强大的半自动化 策展工作流，实施用于联合、查询和识别的新工具，并开发 支持 为 先进 数据 处理 工作流程。

Project​ ​Summary/Abstract The NIH BRAIN Initiative is supporting a broad portfolio of neuroscience research aimed at revolutionizing our understanding of the brain. ​The sharing of data obtained from this research is critical both to leveraging this major public investment and to ensuring the rigor and reproducibility of NIH-funded research. ​We propose to extend to the existing OpenNeuro data archive in order to provide a platform for the storage, processing, and sharing of neuroimaging data collected as part of the BRAIN Initiative. OpenNeuro extends the successful OpenfMRI project by encompassing a broader range of neuroimaging data, and by providing the ability to run data processing workflows on the data directly on the platform (using cloud computing resources) and share the results of those workflows alongside the data. The platform focuses on reproducibility through the use of versioned and containerized analysis workflows that are applied to snapshotted data releases. The proposed project would provide support for analysis and sharing of data from BRAIN Initiative projects as well as other interested projects. In addition to this infrastructure, the aims of the project are to develop a robust semi-automated curation workflow, implement new tools for federation, query, and identification, and develop support​ ​for​ ​advanced​ ​data​ ​processing​ ​workflows.