Data management and analysis core

数据管理与分析核心

• 批准号: 8426668
• 负责人: Gordon James Ramsay
• 金额: $ 8.65万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8426668
• 关键词: Address; Autistic Disorder; Behavioral; Biological; Biometry; Clinical; Collaborations; Collection; Communication; Core Facility; Custom; Data; Data Analyses; Data Collection; Data Set; Databases; Detection; Development; Diagnostic; Disease; Doctor of Philosophy; Electronics; Engineering; Ensure; Environment; Genes; Goals; Growth; Human Resources; Individual; Institution; Instruction; Laboratories; Language; Lead; Life; Maintenance; Maps; Mathematics; Measures; Modeling; Nature; Paper; Phonetics; Phylogeny; Physiological; Procedures; Process; Prospective Studies; Quality Control; Reporting; Research; Research Infrastructure; Research Personnel; Resource Sharing; Retrieval; Risk; Sampling; Science; Scientist; Software Engineering; Software Tools; Speech; Supercomputing; Techniques; Toddler; Training; Translating; Universities; Visual; base; college; computer infrastructure; computerized data processing; data management; data sharing; database design; design; experience; experimental analysis; innovation; meetings; member; novel; operation; pediatric department; professor; programs; repository; resilience; social; speech recognition; success; transmission process

The objecfive of the Emory ACE Data Management & Analysis Core is to create an opfimal scientific and technical environment for creating growth charts of social engagement from densely-sampled longitudinal data sets co-registered across multiple domains in order to explore mechanisms of risk and resilience in autism, a key aim of Projects l-V as well as the whole program project. To accomplish this goal, the Core will provide shared resources, facilities and expertise for data collection, processing, analysis, storage and retrieval to serve the entire program project, as well as acting as a common repository for sharing data between individual projects and transmitting results to NDAR. The specific aims of the Core are: (1) Data Management: to meet the uniquely challenging data processing, management, storage and transmission needs of the entire program project; (2) Data Analysis: to provide a common methodological framework and shared computational infrastructure for carrying out state-of-the-art developmental profiling and statistical analysis of experimental measures collected across Projects l-V; (3) Training and Reliability: to provide common training in all of the novel data analysis techniques employed across projects, and to ensure that those techniques are deployed consistently and reliably across projects, using appropriate procedures for data management; and (4) Quality Control: to ensure that all data arising from the program project are of uniformly and exceptionally high quality, suitable for publicafion, submission to NDAR, and immediate use by other scientists. Key personnel will provide expertise in mathematical analysis, biostatistics, software engineering, and data processing needed to achieve the specific aims of each project. Shared facilifies and infrastructure will be made available to support the data management and analysis needs of each project, including a central supercomputing facility, local workstations, and a suite of software tools customized for the data processing required in each project. Data management will be centralized on a common data server using RexDB, a custom-designed database commissioned from Prometheus Research specifically to handle large-volume clinical, behavioral, and experimental data sets, and their transmission to NDAR. RELEVANCE (See instructions): This research will generate a unique collecfion of large-scale data sets based on clinical, behavioral, and experimental measures that map out the developmental unfolding of autism over the first years of life. The Emory ACE Data Management & Analysis Core will ensure that the full potenfial for sharing our data, extracting new information about autism, and rapidly translating that information into practice is realized, addressing the Interagency Aufism Committee objectives for Eariy Detection, Data Sharing and Resources.

Emory ACE数据管理和分析核心的目标是创建一个最佳的科学和 从密集采样的纵向数据中创建社会参与增长图表的技术环境 跨多个领域共同登记的数据集，以探索 自闭症，项目I-V以及整个项目的关键目标。为了实现这一目标，核心 将为数据收集、处理、分析、存储和 检索服务于整个项目，并作为共享数据的公共存储库 并将结果传输到NDAR。核心的具体目标是：（1）数据 管理：满足独特的数据处理、管理、存储和传输的挑战 （2）数据分析：提供一个通用的方法框架， 共享计算基础设施，用于进行最先进的发展概况分析和统计 对项目I-V中收集的实验测量结果进行分析;（3）培训和可靠性：提供 对项目中采用的所有新数据分析技术进行共同培训，并确保 这些技术在各个项目中得到一致和可靠的部署，使用适当的程序 数据管理;（4）质量控制：确保项目产生的所有数据 统一和非常高的质量，适合出版，提交NDAR，并立即使用 被其他科学家。关键人员将提供数学分析，生物统计学，软件 工程和数据处理需要实现每个项目的具体目标。共享设施和 将提供基础设施，以支持每个项目的数据管理和分析需求， 包括中央超级计算设施、本地工作站和一套定制的软件工具， 每个项目所需的数据处理。数据管理将集中在一个共同的数据 服务器使用RexDB，这是一个定制设计的数据库，委托Prometheus Research专门用于 处理大量的临床、行为和实验数据集，并将其传输到NDAR。 相关性（参见说明）： 这项研究将产生一个独特的收集大规模的数据集的基础上，临床，行为， 这些实验测量描绘了自闭症在生命最初几年的发展演变。的 Emory ACE数据管理和分析核心将确保共享我们的数据的全部潜力， 提取关于自闭症的新信息，并将这些信息快速转化为实践， 解决机构间Aufism委员会的目标，早期检测，数据共享和资源。