Data Analysis Center

Johns Hopkins University and RTI International constitute the Data Analysis Center (DAC) for the ECHO-wide Cohort. The Center is responsible for harmonizing and managing existing and new data from ECHO Pediatric Cohorts, and for developing and applying appropriate methods for combining and analyzing the longitudinal data. The Center has extensive experience and expertise in epidemiology, statistics, data management, informatics, pregnancy and pediatric outcomes, environmental exposures, and genetics.


Aims of the Data Analysis Center

(1) Provide statistical and epidemiological expertise in the design, analysis, and interpretation of studies relevant to the scientific goals of ECHO. Specifically, use principles of reproducible science to address how environmental exposures, social context, and genetic predispositions influence the risk of respiratory, metabolic, neurodevelopmental, prenatal, perinatal, postnatal, and positive health outcomes. Developing and applying novel methodology to best analyze ECHO's data is central to this aim.

(2) Harmonize, manage, and validate the quality of 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 investigators and staffs from the other ECHO Components and cohorts.

(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 analysis, and tracking the progress of approved projects. Data harmonization and methods for bridging the cohorts is essential to making ECHO a resource for epidemiological studies of pediatric health.

Principal Investigators: Lisa P. Jacobson; Corette B. Parker