Data Archive for the Brain Initiative (DABI)

大脑计划数据档案 (DABI)

• 批准号: 10166941
• 负责人: Dominique Duncan
• 金额: $ 122.89万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-05 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10166941
• 关键词: Address; Alzheimer' s Disease; Archives; Atlases; Award; BRAIN initiative; Behavioral; Big Data; Biological Markers; Clinical Data; Code; Collection; Communication; Communities; Computer software; Data; Data Aggregation; Data Analyses; Data Files; Data Reporting; Data Set; Detection; Education and Outreach; Electrophysiology (science); Environment; Excision; Fostering; Funding; Goals; Grant; Health Insurance Portability and Accountability Act; Human; Image; Individual; Informatics; Infrastructure; Ingestion; Internet; Laboratories; Link; Methods; Modality; Modeling; Morphologic artifacts; Neurosciences; Neurosciences Research; Periodicity; Privacy; Protocols documentation; Quality Control; Research; Research Personnel; Resources; Secure; Site; Source; Speed; System; Training; Variant; Visual; Visualization; Visualization software; Work; analytical tool; archive data; archived data; catalyst; cohort; data access; data analysis pipeline; data archive; data de-identification; data dictionary; data exchange; data harmonization; data management; data modeling; data portal; data quality; data repository; data reuse; data sharing; data standards; data submission; data visualization; database schema; design; experience; flexibility; high dimensionality; industry partner; interest; knowledge base; large datasets; large scale data; meetings; member; nervous system disorder; neuroimaging; neurophysiology; programs; response; success; tool; user-friendly; web site; web-accessible; web-based tool

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.

摘要 该项目的总体目标是保护、链接和传播BRAIN Initiative数据，包括 电生理学、成像、行为和临床数据以及所有相关记录和成像参数， 来自参与的网站。我们的大脑计划数据档案（DABI）计划是为了响应 RFA-MH-17-255。 南加州大学的神经成像实验室（LONI）已经成为提供有效的 信息学和分析解决方案在大数据的背景下，在一系列的研究重大项目， 神经系统疾病LONI在数据描述的变化方面有着丰富的经验， 数据不完整和数据协调;我们建立了数据门户和查询引擎，以实现高效搜索 和利用率，最重要的是，我们已经实现了广泛的数据（再）使用，以加速发现。只是 因为ADNI（http：//adni.loni.usc.edu/）项目是生物标志物研究成功的有力催化剂 在阿尔茨海默病中，这个项目有能力促进类似的和潜在的更大程度的成功， 人类神经生理学数据。此外，我们了解收集了 这些数据及其与数据共享相关的问题，以及受试者的隐私， 谁收集数据。 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Pipeline 用于简化分析工具集成的处理环境。该平台将采用 灵活地整合获得赠款者的投入，以解决数据标准化问题（RFA-MH-17-256）， 以及那些设计工具与档案接口的人（RFA-MH-17-257）。 我们将从参与研究中心接收各种模式的数据并进行去识别， 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 用于探索、可视化、解释和下载数据并提供全面信息的界面 有关项目和相应的数据，通过公共网站，将专门为 达比 我们的目标是为研究人员提供一种工具，一旦数据被归档， 生成的.我们已经建立了一个真正的社区，在我们之间建立了良好的沟通， 一群来自BRAIN Initiative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将专门简化数据上传方法， 这些来源。