Big and Disparate Data: Considerations for Pediatric Consortia

Printer-friendly version

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.

History

DateCreated ByLink
April 6, 2017
13:51:02
John S. EricksonDownload
April 6, 2017
13:44:37
John S. EricksonDownload
April 6, 2017
13:20:30
John S. EricksonDownload
April 6, 2017
13:05:41
John S. EricksonDownload

Related Projects:

CHEAR Project LogoChild Health Exposure Analysis Repository (CHEAR)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Kristin Bennett
Description: Child Health Exposure Analysis Repository Data Science Semantics

Related Research Areas:

Health Informatics
Lead Professor: Deborah L. McGuinness
Description:

Health informatics is "the interdisciplinary study of the design, development, adoption and application of IT-based innovations in healthcare services delivery, management and planning." Procter, R. Dr. (Editor, Health Informatics Journal, Edinburgh, United Kingdom). (From the U.S. National Library of Medicine)


Concepts: None.