Data Archive for the Brain Initiative (DABI)

摘要 该项目的总体目标是保护、链接和传播Brain Initiative数据，包括 电生理、成像、行为和临床数据以及所有相关记录和成像参数， 来自参与网站。我们的大脑数据归档计划(DABI)是对以下问题的回应 RFA-MH-17-255。 南加州大学神经成像实验室(LONI)已将自己确立为提供有效 大数据背景下的信息学和分析解决方案在一系列重大项目中的研究 神经系统疾病。LONI在数据描述的变化方面已经证明和证明了经验， 数据不完整和数据协调；我们构建了数据门户和查询引擎，以实现高效的搜索 和利用率，最重要的是，我们已经实现了广泛的数据(重复)使用，以加速发现。只是 由于ADNI(http://adni.loni.usc.edu/))项目已经成为生物标志物研究成功的强大催化剂 在阿尔茨海默氏症方面，这个项目有能力促进类似的、可能更高水平的成功 人类神经生理学数据。此外，我们理解调查人员的需求，他们收集了 这些数据及其与数据共享相关的问题，以及受试者来自 数据是由谁收集的。 我们拥有广泛的基础设施来处理如此大规模的数据以及Loni的管道 用于简化分析工具集成的处理环境。该平台将采用 灵活整合获奖者的投入，以解决数据标准化问题(RFA-MH-17-256)，如 以及设计与档案接口的工具的人员(RFA-MH-17-257)。 我们将从参与站点接收和识别各种医疗模式的数据，并结合分析 以前在LONI和其他地方开发的工具，管理数据访问系统，为用户提供 用于浏览、可视化、解释和下载数据并提供全面信息的界面 关于将专门为以下目的开发的公共网站的项目和相应数据 达比。 我们的目标是为调查人员提供一种工具，以减轻数据一旦归档的负担 已生成。我们已经建立了一个真正的社区，通过在我们的 一群来自资助的大脑倡议项目的合作者。此外，我们将与工业界合作 预计将成为主要数据来源的合作伙伴，以明确简化数据上载方法 那些消息来源。

ABSTRACT The overarching goal of this project is to secure, link, and disseminate BRAIN Initiative data, including electrophysiology, imaging, behavioral, and clinical data with all pertinent recording and imaging parameters, coming from participating sites. Our plan for a Data Archive for the Brain Initiative (DABI) is in response to RFA-MH-17-255. The Laboratory of Neuro Imaging (LONI) at USC has established itself as a hub for delivering effective informatics and analytics solutions in the context of big data for major projects in the study of a range of neurological diseases. LONI has demonstrated and proven experience with variations in data descriptions, data incompleteness, and data harmonization; we have built data portals and query engines for efficient search and utilization, and we have, most importantly, enabled broad data (re-)use toward accelerated discovery. Just as the ADNI (http://adni.loni.usc.edu/) project has been a powerful catalyst for success in biomarker research in Alzheimer's disease, this project has the power to foster a similar and potentially greater level of success for human neurophysiological data. Furthermore, we understand the needs of investigators who have collected these data and their concerns associated with data sharing, in addition to the privacy of the subjects from whom the data are collected. We have the extensive infrastructure in place to handle such large-scale data as well as LONI's Pipeline Processing Environment for streamlined integration of analytic tools. This platform will be designed with the flexibility to integrate input from those awarded grants to address standardization of data (RFA-MH-17-256) as well as those who design tools to interface with archives (RFA-MH-17-257). We will receive and de-identify data of various modalities from the participating sites, incorporating analysis tools previously developed at LONI and elsewhere, managing the data access systems, providing user interfaces to explore, visualize, interpret, and download the data, and provide comprehensive information about the projects and corresponding data through the public website that will be developed specifically for DABI. We aim to provide a tool for investigators that will decrease the burden of archiving the data once it has been generated. We have already created a true community by having established good communication among our group of collaborators from funded BRAIN Initiative programs. Furthermore, we will be working with industry partners that are anticipated major sources of data to specifically streamline methods for data upload from those sources.