Data Science Resource Core

数据科学资源核心

• 批准号: 10456069
• 负责人: Adrienne L Fairhall
• 金额: $ 29.58万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10456069
• 关键词: Address; Algorithms; Area; Big Data Methods; Brain; Cloud Computing; Code; Collaborations; Communities; Complex; Computer Systems; Computer software; Computers; Data; Data Analyses; Data Science; Data Science Core; Data Set; Databases; Development; Electrophysiology (science); Environment; High Performance Computing; Human; Infrastructure; Learning; Letters; Link; Marshal; Metadata; Methods; Modeling; Output; Process; Publications; Reproducibility; Research; Research Personnel; Resources; Series; Software Tools; Stimulus; Structure; Task Performances; Testing; Theoretical model; Time Series Analysis; Universities; Washington; base; cluster computing; computational neuroscience; computational platform; computer cluster; computerized tools; computing resources; data analysis pipeline; data management; data sharing; data standards; data tools; experimental study; file format; heterogenous data; information organization; interoperability; member; neural correlate; neurophysiology; open data; open source; open source tool; portability; relating to nervous system; repository; simulation; software development; supervised learning; tool; visual information

Data Science Core Project Summary The Data Science Core will be responsible for coordinating data management and analysis strategies across the five projects. Based at the University of Washington, the Core will integrate data science and computational neuroscience expertise to adapt or develop data analysis methods that can be applied in a coordinated way across the different data sets and to simulation outputs. Along with characterizing neural representations, we will particularly focus on new and developing methods that can extract information from small numbers of trials during learning, and that elucidate the dynamical basis of the neural computation. This analysis will be used in order to test and further develop hypotheses. The Core will establish standards and practices for data and software generated by and used the projects that will facilitate collaboration and ultimately sharing of data, algorithms and results. To facilitate efficient computation on large amounts of heterogenous data, the Data Science Core will develop portable high-performance computing systems that can be deployed on institutional resources, as well as using cloud computing platforms.

数据科学核心项目摘要 数据科学核心将负责协调数据管理和分析战略， 五个项目。Core位于华盛顿大学，将整合数据科学和计算技术， 神经科学专业知识，以适应或开发可以以协调的方式应用的数据分析方法 在不同的数据集和模拟输出。沿着表征神经表征，我们 将特别关注能够从少量试验中提取信息的新方法和正在开发的方法 在学习过程中，这阐明了神经计算的动力学基础。该分析将用于 为了测试和进一步发展假设。核心将建立数据标准和做法， 由项目生成并使用的软件将促进协作并最终共享数据， 算法和结果。为了便于对大量异构数据进行有效计算， 科学核心将开发便携式高性能计算系统，可以部署在机构 资源，以及使用云计算平台。