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

ECHODAC（环境对儿童健康结果的影响数据分析中心）

• 批准号: 9355710
• 负责人: LISA P JACOBSON
• 金额: $ 1013.16万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-21 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9355710
• 关键词: Achievement; Acquired Immunodeficiency Syndrome; Address; Affect; Air Pollution; American; Area; Back; Biological Markers; Biometry; Cardiac health; Characteristics; Child; Child Development; Child health care; Childhood; Chronic Kidney Failure; Clinical; Cohort Studies; Collaborations; Common Data Element; Communities; Complex; Data; Data Analyses; Data Collection; Data Quality; Data Reporting; Databases; Development; Discipline; Discipline of obstetrics; Environmental Exposure; Epidemiology; Epigenetic Process; Etiology; Event; Faculty; Familiarity; Genetic; Genetic Predisposition to Disease; Goals; HIV; Health; Human Resources; Imagery; Informatics; Information Systems; Institution; International; Investigation; Knowledge; Life Cycle Stages; Metabolic; Methodology; Methods; Modeling; National Heart, Lung, and Blood Institute; National Institute of Allergy and Infectious Disease; National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; Nulliparity; Outcome; Outcome Study; Outcomes Research; Pediatric Research; Perinatal; Periodicity; Pregnancy Outcome; Principal Investigator; Procedures; Protocols documentation; Public Health Schools; Publications; Publishing; Reproducibility; Research; Research Design; Research Personnel; Resources; Risk; Role; Science; Secure; Smoking; Social Environment; Standardization; Survival Analysis; System; Taxonomy; The Multicenter AIDS Cohort Study; Time; United States National Institutes of Health; Universities; adverse outcome; cohesion; cohort; data management; design; epidemiology study; experience; innovation; interest; longitudinal analysis; medical schools; member; multilevel analysis; neurodevelopment; next generation; novel; postnatal; prenatal; programs; respiratory; social; statistics; stillbirth; success

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.

项目概要 约翰·霍普金斯大学和 RTI International 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) （回声）计划。具有数据协调、流行病学和生物统计学专业知识的 DAC 对于 有效的纵向和多层次分析，以阐明生命过程环境和 社会暴露和遗传易感性对儿科健康和不良后果的影响。提供的效率 通过准备处理以下问题的 DAC，可以更轻松地利用现有的儿科研究 相关的挑战。我们的 DAC 在开发创新方法方面拥有独特的丰富经验 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、环境暴露等方面的专业知识 遗传学协同作用以实现这些具体目标：（1）提供统计和流行病学专业知识 与 ECHO 科学目标相关的研究的设计、分析和解释。特别是，使用 可重复科学的原则来解决环境暴露、社会背景和遗传因素如何影响 易感性影响呼吸、代谢、神经发育以及产前、围产期和产后的风险 结果。开发和应用新方法来最好地分析复杂的 ECHO 数据是 这一目标的核心； (2) 协调、管理 ECHO 队列中的数据并确保质量，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 与队列和研究合作标准化执行协议的程序 协调中心、指导委员会和小组； (4) 推广使用有质量保证的 ECHO 数据 在儿科结果的科学研究中，通过以下方式：让科学界参与进来，提供互动的 可视化和数据提取系统，并跟踪已批准项目的进度。拟议数据 协调一致以及连接队列的方法将是使 ECHO 成为首要资源的关键 儿科健康的流行病学研究。