Standardization and Querying of Data Quality Metrics and Characteristics for Electronic Health Data

Creating and implementing a data capture and querying system to improve research on data quality, characteristics, data source, and institutional characteristics.
  • Food and Drug Administration (FDA)
Start Date
  • 8/20/2016


  • Use of Clinical Data for Research
  • Use of Enhanced Publically-Funded Data Systems for Research


STATUS: Active Project


Currently, no standards exist for describing and characterizing the quality and completeness of electronic health data. In order to best utilize data, it is imperative that researchers and investigators know the fitness for use and reliability of data. In order to address this gap, the Food and Drug Administration (FDA) will build upon the connections and knowledge gained from the Cross‑Network Directory Service (CNDS) to discover and design data quality metrics for metadata standards; standards that would further regulate the “data about data” helpful in tagging, structuring, formatting, and coding data according to its categorization and fitness.


Under the FDA, this project will create and implement a metadata standards data capture and querying system for: 1) data quality and characteristics, 2) data source and institutional characteristics, and 3) “fitness‑for‑use.”

The project objectives are to:

  • Develop and test metadata standards and technical specifications.

  • Implementation of the new metadata standards in at least two distributed networks.

  • Incorporate the standards in an open‑source software release.