Big and Disparate Data: Considerations for Pediatric Consortia
Authors
Stingone, Jeanette
Mervish, Nancy
Kovatch, Patricia
McGuinness, Deborah L.
Gennings, Chris
Teitelbaum, Susan
ORCID
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Other Contributors
Issue Date
2017-12-31
Keywords
CHEAR (Child Health Exposure Analysis Repository)
Degree
Terms of Use
Full Citation
Abstract
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.
Description
Department
Publisher
Current Opinion in Pediatrics
Relationships
https://tw.rpi.edu/project/CHEAR