Data Quality Modules

In this collection, explore dozens of study-specific and network data quality analysis modules. These modules facilitate the objective exploration and presentation of study and network data, thereby ensuring that research analyses are conducted under the assumption of producing valid results. Navigate to Subcollections and Domains to explore categories of data quality analysis and available modules.

You can learn more about the PEDSnet Data Quality program on the PEDSnet website. To access the full study-specific data quality package, SQUBA, check out its PEDSpace record or SSDQA GitHub. For more information on the Network Data Quality package, visit this PEDSpace record or NDQ GitHub.

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Collections in this Collection

Now showing 1 - 5 of 5
  • Cohort Fitness  
    Modules to evaluate the face validity of a cohort for a given analysis.
  • Cohort Identification  
    Modules to evaluate the formation and quality of a study cohort.
  • Concept Set Testing  
    Modules to evaluate concept-set distributions and plausibility in a clinical dataset.
  • Dataset Fitness  
    Modules to assess dataset quality and consistency, with a focus on the overall fitness of a dataset rather than specific variables or concepts.
  • Variable Testing  
    Modules to understand variable distributions and representations within a clinical dataset.

Domains in this Collection

Now showing 1 - 1 of 1