Neuroinformatics Core

神经信息学核心

• 批准号: 10197942
• 负责人: Daniel Andresen
• 金额: $ 20.75万
• 依托单位: KANSAS STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-15 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10197942
• 关键词: Area; Automobile Driving; Award; Behavior; Behavioral; Centers of Research Excellence; Climate; Cognitive; Collaborations; Computer Models; Core Facility; Data; Data Analytics; Data Storage and Retrieval; Development; Diffusion Magnetic Resonance Imaging; Engineering; Ensure; Environment; Equipment; Extramural Activities; Faculty; Funding; Goals; Grant; High Performance Computing; Institutes; Institution; Kansas; Link; Mission; Modeling; Modernization; Neurobiology; Neuronal Plasticity; Neurosciences; Postdoctoral Fellow; Productivity; Research; Research Activity; Research Infrastructure; Research Personnel; Research Project Grants; Resources; Route; Science; Secure; Specific qualifier value; Speed; Statistical Data Interpretation; Supercomputing; System; Techniques; Technology; Time; Training; Training Programs; United States National Institutes of Health; Universities; analytical tool; archive data; archived data; behavior measurement; cognitive ability; data access; data dissemination; data management; data sharing; data space; functional magnetic resonance imaging/electroencephalography; graduate student; improved; laboratory facility; large datasets; member; neuroimaging; neuroinformatics; post-doctoral training; programs; service providers; success; tool; training opportunity; visual tracking; web server

PROJECT SUMMARY A Neuroinformatics (NI) core will be established at Kansas State University (KSU) to support the primary projects, programs, and cores across C-NAP. The NI core will provide secure, fast, and efficient access for data sharing, analytics, computational modeling, and high-performance computing (HPC). This core is particularly important for supporting the management, analysis, and modeling of large data sets collected in neuroscience studies such as neuroimaging (fMRI, EEG, diffusion tensor imaging), eye tracking, driving simulator behavior, and other quantitative behavioral measurements that are often conducted in real-time. NI core access will be available to all primary and affiliated members of C-NAP. The NI core will be comprised of web servers, and dual data servers (initially each specified at ~100TB raw capacity) to provide redundancy and scalability, with plans to purchase additional storage servers (or upgrade the initial ones) each following year to an expected 1PB aggregate total as C-NAP needs grow. These servers will be linked with high-speed (minimum 10GbE) networks to the KSU and WSU campuses and at 40GbE to the Beocat cluster, one of the largest supercomputing clusters in the state of Kansas. The NI core will be used for longer-term archiving and data sharing, to meet NSF/NIH requirements, with access by authenticated users through the Own Cloud (or equivalent) storage system. This will promote the development and continuation of collaborative research activities by providing a secure space for data storage and access by groups of users. The core will be directed by Dr. Daniel Andresen, who is the Director of the KSU Institute for Computational Research in Engineering and Science, an expert in the area of high performance computing and an Extreme Science and Engineering Discovery Environment (XSEDE) Level 3 Service Provider. Technical support will be provided by a full-time data technician and graduate student. The overarching goal of the NI core is to promote the ability of C-NAP researchers to compete for extramural funding by incorporating technologies that are needed to answer the most challenging questions facing modern neuroscience researchers.

项目摘要 堪萨斯州立大学（KSU）将建立神经信息学（NI）核心 跨C-NAP的项目，程序和核心。 NI核心将为安全，快速，高效的访问 数据共享，分析，计算建模和高性能计算（HPC）。这个核心是 对于支持收集的大型数据集的管理，分析和建模特别重要 神经科学研究，例如神经影像学（fMRI，EEG，扩散张量成像），眼睛跟踪，驱动 模拟器行为和其他经常实时进行的定量行为测量。 ni C-NAP的所有主要和附属成员将使用核心访问权限。 NI核心将包括 Web服务器和双数据服务器（最初以〜100TB原始容量指定），以提供冗余和 可伸缩性，计划每年购买其他存储服务器（或将初始服务器升级）到 随着C-NAP需求的增长，预期的1Pb总计。这些服务器将与高速链接 （至少10GBE）网络到KSU和WSU校园，在40GBE到Beocat群集，其中之一是 堪萨斯州最大的超级计算集群。 NI核心将用于长期存档和 数据共享，满足NSF/NIH要求，并通过自己的云被认证的用户访问（或 等效）存储系统。这将促进协作研究的发展和延续 通过为数据存储和用户组访问的安全空间提供活动。核心将被指向 KSU工程计算研究所主任丹尼尔·安德森（Daniel Andresen）博士 和科学，高性能计算领域的专家以及极端的科学与工程 发现环境（XSEDE）3级服务提供商。技术支持将由全职提供 数据技术员和研究生。 NI核心的总体目标是促进C-NAP的能力 研究人员通过合并回答所需的技术来竞争典型的资金 现代神经科学研究人员面临的最具挑战性的问题。