Login / Signup

Design and Refinement of a Data Quality Assessment Workflow for a Large Pediatric Research Network.

Ritu KhareLevon H UtidjianHanieh RazzaghiVictoria SoucekEvanette BurrowsDaniel EckrichRichard HoytHarris WeinsteinMatthew W MillerDavid SolerJoshua TuckerL Charles Bailey
Published in: EGEMS (Washington, DC) (2019)
In the absence of a formalized data quality framework, CDRNs continue to face challenges in data management and query fulfillment. The proposed data quality toolkit was empirically validated on a particular network, and is publicly available for other networks. While the toolkit is user-friendly and effective, the usage statistics indicated that the data quality process is very time-intensive and sufficient resources should be dedicated for investigating problems and optimizing data for research.
Keyphrases
  • electronic health record
  • big data
  • mental health
  • data analysis
  • deep learning