ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)

项目摘要 约翰霍普金斯大学和RTI国际的互补专业知识和资源相结合 成为NIH环境对儿童健康结果影响的数据分析中心（DAC） （ECHO）计划。一个在数据统一、流行病学和生物统计学方面具有专门知识的发援会是必不可少的， 有效的纵向和多层次的分析，以阐明生命过程的环境和 社会暴露和遗传易感性对儿童健康和不良后果的影响。提供的效率 利用现有的儿科研究更容易实现与DAC准备处理 相关的挑战。我们的DAC在开发创新方法方面拥有丰富的经验， 分析来自不同群体的数据帮助推动下一代儿科科学 研究，流行病学，统计学，信息学，儿科结果，环境暴露方面的专业知识， 遗传学的协同作用，以实现这些具体目标：（1）提供统计和流行病学的专业知识， 设计、分析和解释与ECHO科学目标相关的研究。尤其是借股东 可再生科学的原则，以解决环境暴露，社会背景和遗传 体质影响呼吸、代谢、神经发育以及产前、产后和产后 结果。开发和应用新的方法来最好地分析复杂的ECHO数据， 这一目标的核心;（2）协调、管理和质量保证ECHO队列中的数据，包括 提供用于数据传输、编辑、合并、存储和备份的安全系统;（3）开发 与研究中心合作，在队列和研究中标准化执行方案的程序 协调中心、指导委员会和队列;（4）促进使用有质量保证的ECHO数据 在儿科结果的科学研究中，通过：参与科学界，提供互动 该系统用于可视化和数据提取，并跟踪已批准项目的进展情况。所提出的数据 协调和桥接队列的方法将是使ECHO成为以下方面的首要资源的关键： 儿科健康的流行病学研究。

Project Summary The complementary expertise and resources of Johns Hopkins University and RTI International are combined to become the Data Analysis Center (DAC) for the NIH Environmental Influences on Child Health Outcomes (ECHO) program. A DAC with expertise in data harmonization, epidemiology and biostatistics is essential for effective longitudinal and multi-level analyses to elucidate the influences of life course environmental and social exposures, and genetic susceptibility on pediatric health and adverse outcomes. The efficiency offered by capitalizing on extant pediatric studies is more readily accomplished with a DAC prepared to deal with the associated challenges. Our DAC uniquely offers deep experience in developing innovative methods for analyzing data combined from disparate cohorts. To help drive the next generation science in pediatric research, expertise in epidemiology, statistics, informatics, pediatric outcomes, environmental exposures, and genetics is synergized to realize these specific aims: (1) Provide statistical and epidemiological expertise in the design, analysis, and interpretation of studies relevant to the scientific goals of ECHO. In particular, use principles of reproducible science to address how environmental exposures, social context, and genetic predispositions influence the risk of respiratory, metabolic, neurodevelopmental, and pre-, peri-, and postnatal outcomes. The development and application of novel methodology to best analyze the complex ECHO data is central to this goal; (2) Harmonize, manage, and quality assure the data across the ECHO cohorts, including the provision of secured systems for data transfer, editing, merging, storing, and backup; (3) Develop procedures for standardized execution of protocols across cohorts and studies in collaboration with the coordinating center, steering committee, and cohorts; and (4) Promote the use of quality-assured ECHO data in scientific studies of pediatric outcomes, by: engaging the scientific community, providing an interactive system for visualization and data extraction, and tracking the progress of approved projects. The proposed data harmonization, and methods for bridging the cohorts will be key in making ECHO the premier resource for epidemiological studies of pediatric health.