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被结合在一起 成为NIH环境对儿童健康结局影响的数据分析中心(DAC) (回声)程序。一个在数据协调、流行病学和生物统计学方面具有专门知识的发援会对于 有效的纵向和多层次分析，以阐明生命过程、环境和 社会暴露、遗传易感性对儿科健康和不良后果的影响。所提供的效率 利用现有的儿科研究更容易完成，因为发改委准备好应对 相关的挑战。我们的DAC在开发创新方法方面提供了独特的丰富经验 分析从不同的队列组合而来的数据。帮助推动儿科领域的下一代科学 研究、流行病学、统计学、信息学、儿科成果、环境暴露以及 遗传学的协同作用是为了实现这些具体目标：(1)提供统计和流行病学方面的专门知识 设计、分析和解释与ECHO科学目标相关的研究。具体地说，使用 可复制科学的原理，以解决环境暴露、社会背景和遗传 易感性影响呼吸、代谢、神经发育以及出生前、围产期和出生后的风险。 结果。最好地分析复杂回波数据的新方法的开发和应用 对这一目标至关重要；(2)协调、管理和确保回声队列中的数据质量，包括 提供数据传输、编辑、合并、存储和备份的安全系统；(3)开发 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；以及(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：让科学界参与，提供互动的 可视化和数据提取系统，并跟踪已核准项目的进展情况。建议的数据 协调，以及连接队列的方法将是使ECHO成为 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.