Unmapped Concepts


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Domain

Category

Parameters

Publisher

PEDSnet

Abstract

A network data quality check which computes the proportion of unmapped concepts for a given domain. For example, this check type may be applied to the drug_exposure table to determine the proportion of unmapped prescriptions. The output of this check type can amount to three distinct tables: First, the raw proportion of unmapped concepts; Second, unmapped concepts over time; Third, the unmapped source values are also shown to assist ETL analysts in viewing what the top unmapped values are for each domain.

Results of this check for the current data cycle can be explored on the PEDSnet Data Quality Dashboard. Data quality results for previous data cycles have been archived in the Unmapped Concepts Network Results collection.

Probe

Clinical Assessment

Access Package

Visualization Output

NOTE: The visualizations are NOT part of the packaged code. This description applies to the visualizations available on the PEDSnet Data Quality Dashboard.

For the cross-sectional (not over time) output, the results are visualized as a bar graph showing the proportion of rows in the domain that are unmapped. For the by year output, a line graph with the proportion of unmapped concepts per year is used.

Raw Output

This check produces a raw data output containing 8 columns of data:

Column Data Type Definition
site character the name of the site being targeted
measure character the name of the clinical fact domain being evaluated
total_rows numeric the total number of rows associated with the measure
unmapped_rows numeric the total number of unmapped rows associated with the measure
database_version character the database version from which the counts originated
check_name character a short string identifier for the check
check_type character a short string identifier for the module
unmapped_prop numeric the proportion of unmapped rows associated with the measure

This check can also be executed by year to measure the rate of unmapped concepts across time. This version of the check produces output with 9 columns:

Column Data Type Definition
site character the name of the site being targeted
year_date date the year for which unmapped concepts are being evaluated
total_row_ct numeric the total number of rows associated with the measure for that year
total_unmapped_row_ct numeric the total number of unmapped rows associated with the measure for that year
unmapped_description character the name of the clinical fact domain being evaluated
database_version character the database version from which the counts originated
check_name character a short string identifier for the check
check_type character a short string identifier for the module
unmapped_prop numeric the proportion of unmapped rows associated with the measure

Funder(s)

Provenance

Description

Clinical Subjects Headings

Related Data Quality Result

Related Person

Related Code

Network Data Quality
Created:2025-09Affiliation:PEDSnet Data Coordinating Center
The [Network Data Quality (NDQ)](https://pedsnet.github.io/ndq/) package contains several data quality modules intended to evaluate the overall condition of the data in a clinical research network. These modules, which cover a broad range of data quality domains from conformance to plausibility, are flexible and can be configured to execute checks specific to desired use cases in both the OMOP and PCORnet common data models (CDMs).

##### [View pkgdown summary here.](https://pedsnet.github.io/ndq/)

Related Data Quality Check

Related Publications

Creative Commons license

Except where otherwised noted, this item's license is described as a CC-BY Attribution 4.0 license.

Cite this Data Quality Check

Wieand, K. & Dickinson, K. (2023, December). Unmapped Concepts. [D Q Check]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-485