Data management and analysis core

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 用于从密集采样的纵向创建社会参与增长图的技术环境 跨多个领域共同注册的数据集，以探索风险和恢复力的机制 自闭症是项目 l-V 以及整个计划项目的一个关键目标。为了实现这一目标，核心 将为数据收集、处理、分析、存储和提供共享资源、设施和专业知识 检索服务于整个程序项目，并充当共享数据的公共存储库 各个项目之间以及将结果传输至 NDAR 之间。核心的具体目标是： (1) 数据 管理：满足独特挑战性的数据处理、管理、存储和传输 整个计划项目的需求； (2) 数据分析：提供通用的方法框架和 用于进行最先进的发育分析和统计的共享计算基础设施 分析项目 l-V 中收集的实验测量值； (3) 培训和可靠性：提供 跨项目使用的所有新颖数据分析技术的共同培训，并确保 这些技术在各个项目中得到一致、可靠的部署，并使用适当的程序 数据管理； (4) 质量控制：确保计划项目产生的所有数据都是真实的 质量一致且异常高质量，适合出版、提交给 NDAR 并立即使用 由其他科学家。关键人员将提供数学分析、生物统计学、软件方面的专业知识 实现每个项目特定目标所需的工程和数据处理。共享便利和 将提供基础设施来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。数据管理将集中在公共数据上 使用 RexDB 的服务器，RexDB 是 Prometheus Research 委托专门设计的数据库 处理大量临床、行为和实验数据集，并将其传输到 NDAR。 相关性（参见说明）： 这项研究将生成基于临床、行为和行为的独特的大规模数据集。 绘制出自闭症在生命最初几年的发展过程的实验措施。的 Emory ACE 数据管理和分析核心将确保充分发挥数据共享的潜力， 提取有关自闭症的新信息，并迅速将这些信息转化为实践， 解决机构间自闭症委员会的早期检测、数据共享和资源目标。

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.