Big and Disparate Data: Considerations for Pediatric Consortia

Increasingly, there is a need for examining exposure disease associations in large, diverse datasets to understand the complex determinants of pediatric disease and disability. Recognizing that children’s health research consortia will be important sources of big data, it is crucial for the pediatric research community to be knowledgeable about the challenges and opportunities that they will face. This review will provide examples of existing children’s health consortia; highlight recent pooled analyses conducted by children’s health research consortia; address common challenges of pooled analyses and provide recommendations to advance collective research efforts in pediatric research.

Associated Projects

The United States’ National Institute of Environmental Health Sciences has established an infrastructure, the Children’s Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to laboratory and statistical analyses aimed at adding or expanding the inclusion of environmental exposures in their research.