BRAIN INITIATIVE RESOURCE: DEVELOPMENT OF A HUMAN NEUROELECTROMAGNETIC DATA ARCHIVE AND TOOLS RESOURCE (NEMAR)

为了利用密集和大规模计算方法的最新和正在进行的进展， 为了保存由公共资助的研究项目创建的科学数据，数据档案必须 创建的标准以及用于指定、识别和注释存放数据的标准。的价值和 研究人员对这些档案的兴趣可以大大增加， 支持进一步分析的分析和搜索工具的计算能力和框架 大规模的元分析和大规模的数据挖掘。OpenNeuro.org档案，开始作为一个 功能性磁共振成像（fMRI）数据库就是这样一个档案库。我们提出建设 OpenNeuro的人体电生理数据（EEG和MEG，以及颅内数据）网关 从临床患者记录以计划脑外科手术或其他治疗）-在此我们将这些 神经电磁（NEM）数据。神经电磁学数据档案和工具 圣地亚哥超级计算机中心的资源（NEMAR）将作为NEM的OpenNeuro网关 数据研究。上传到SDSC NEMAR的此类数据将存放在OpenNeuro档案中。还是-- OpenNeuro中的私有NEM数据将根据用户请求复制到NEMAR网关，供其他用户使用 在SDSC与神经科学联合使用XSEDE高性能资源进行处理 网关（nsgportal.org），一个免费提供且易于使用的门户，用于使用高性能计算 神经科学研究的资源。将能够分析公开的OpenNeuro NEM数据 通过在OpenNeuro系统上运行经过验证的分析应用程序。在这个项目中，我们将建立一个 应用程序来评估上传的NEM数据的质量，另一个应用程序来可视化数据，用于EEG和 头皮和脑源水平的MEG，包括时域和频域动力学 时间锁定到从BIDS和HED格式的数据注释中学习的实验事件集。 NEMAR网关将朝着将机器学习方法应用于大型商店迈出重要一步 仔细收集和存储的人类大脑电生理数据，以刺激基础研究的新发展。 和临床大脑研究。

To take advantage of recent and ongoing advances in intensive and large-scale computational methods, and to preserve the scientific data created by publicly funded research projects, data archives must be created as well as standards for specifying, identifying, and annotating deposited data. The value of and interest in such archives among researchers can be greatly increased by adding to them an active computational capability and framework of analysis and search tools that support further analysis as well as larger scale meta-analysis and large scale data mining. The OpenNeuro.org archive, begun as a repository for functional magnetic resonance imaging (fMRI) data, is such an archive. We propose to build a gateway to OpenNeuro for human electrophysiology data (EEG and MEG, as well as intracranial data recorded from clinical patients to plan brain surgeries or other therapies) – herein we refer to these modalities as neuroelectromagnetic (NEM) data. The Neuroelectromagnetic Data Archive and Tools Resource (NEMAR) at the San Diego Supercomputer Center will act as a gateway to OpenNeuro for NEM data research. Such data uploaded to NEMAR at SDSC will be deposited in the OpenNeuro archive. Still- private NEM data in OpenNeuro will, on user request, be copied to the NEMAR gateway for further user processing using the XSEDE high-performance resources at SDSC in conjunction with The Neuroscience Gateway (nsgportal.org), a freely available and easy to use portal to use of high-performance computing resources for neuroscience research. Publicly available OpenNeuro NEM data will be able to be analyzed by running verified analysis applications on the OpenNeuro system. In this project we will build an application to evaluate the quality of uploaded NEM data, and another to visualize the data, for EEG and MEG at both the scalp and brain source levels, including time-domain and frequency-domain dynamics time locked to sets of experimental events learned from the BIDS- and HED-formatted data annotations. The NEMAR gateway will take a major step toward applying machine learning methods to a large store of carefully collected and stored human electrophysiologic brain data to spur new developments in basic and clinical brain research.