Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.
RTI International, Research Triangle Park, North Carolina, USA.
Curr Opin Pediatr. 2018 Apr;30(2):269-275. doi: 10.1097/MOP.0000000000000602.
A highly complex collaborative study design that pools and extends existing studies, such as the Environmental influences on Child Health Outcomes (ECHO) Program, requires a Data Analysis Center (DAC) with resources and expertise to create a secure environment for housing and analyzing the shared data, harmonize and structure the shared data for different purposes, and apply appropriate and innovative designs and analytic methods. The DAC, in partnership with cohort investigators, must ensure that results from ECHO-wide cohort analyses are appropriately interpreted and reproducible.
Understanding the cohorts contributing to ECHO is critical for developing a collaborative environment and the methods to best analyze the data without bias. We further describe the development of the ECHO-wide cohort Metadata Catalog, the architecture of the ECHO-wide cohort data platform, and analytical approaches to facilitate early productivity.
The ECHO DAC has established a secure environment for the transfer and storage of ECHO cohort data and information, and initiated processes to promote productive collaborations. Understanding the ECHO DAC responsibilities and assets will help to overcome communication and trust challenges encountered in the initiation of this complex ECHO-wide cohort collaborative research study.
目的综述：需要一个具有资源和专业知识的数据分析中心（DAC）来创建一个安全的环境来存储和分析共享数据，协调和结构化共享数据以实现不同的目的，并应用适当和创新的设计和分析方法，从而实现高度复杂的协作研究设计，该设计对现有研究进行了汇总和扩展，例如环境对儿童健康结果的影响（ECHO）计划。该 DAC 必须与队列研究人员合作，确保对 ECHO 全队列分析的结果进行适当的解释和再现。
最新发现：了解参与 ECHO 的队列对于开发协作环境以及开发最佳分析数据的方法（避免偏差）至关重要。我们进一步描述了 ECHO 全队列元数据目录的开发、ECHO 全队列数据平台的架构以及促进早期生产力的分析方法。
总结：ECHO DAC 已经为 ECHO 队列数据和信息的传输和存储建立了一个安全的环境，并启动了促进富有成效的合作的流程。了解 ECHO DAC 的职责和资产将有助于克服在启动这一复杂的 ECHO 全队列协作研究中遇到的沟通和信任挑战。
