Data management and analysis core

Emory ACE数据管理与分析核心的目标是创建一个最优的科学和 从密集抽样的纵向样本创建社会参与度增长图表的技术环境 跨多个域共同注册的数据集，以探索 自闭症，L-V项目以及整个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、存储和管理提供共享资源、设施和专业知识 检索以服务于整个计划项目，并充当共享数据的公共存储库 在各个项目之间开展合作，并将成果传送给国家灾害评估。核心的具体目标是：(1)数据 管理：满足数据处理、管理、存储和传输的独特挑战 整个计划项目的需求；(2)数据分析：提供一个通用的方法框架和 用于执行最先进的发展概况分析和统计的共享计算基础设施 L-V项目收集的实验措施分析(3)培训和可靠性：提供 对各项目采用的所有新数据分析技术进行通用培训，并确保 这些技术在项目中一致可靠地部署，并使用适当的程序 数据管理；以及(4)质量控制：确保项目项目产生的所有数据符合 统一超高品质，适用于公示、报送、即用 被其他科学家发现。主要人员将提供数学分析、生物统计学、软件方面的专业知识 实现每个项目的具体目标所需的工程设计和数据处理。共享便利和 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、本地工作站和一套为 每个项目所需的数据处理。将数据集中管理在一个公共数据上 使用RexDB的服务器，RexDB是普罗米修斯研究公司委托的定制数据库，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(请参阅说明)： 这项研究将产生一个独特的大规模数据集，基于临床、行为和 描绘出自闭症在生命最初几年的发展过程的实验措施。这个 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， 提取有关自闭症的新信息，并将这些信息快速转化为实践是实现的， 解决机构间自闭症委员会在早期检测、数据共享和资源方面的目标。

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.