Semantic Data Quality Standards for Multi-Center Clinical Research Studies and Networks


Study Dates

2022-01 - 2024-12

Last Modified

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Publisher

PEDSnet

Abstract

Study aimed to define specific guidelines for data quality testing to allow users to assess fitness of data for a given use; to design analytic components to address data quality issues using a stakeholder-responsiveness process; to develop freely-available assessment and reporting tools for these guidelines.

Affiliation(s)

PEDSnet Data Coordinating Center

Funder(s)

This research was made possible through the generous support of Patient-Centered Outcomes Research Institute. The statements presented in this work are solely the responsibility of the author(s) and do not necessarily represent the views of PCORI, its Board of Governors, or its Methodology Committee.

Provenance

Description

To address missed gaps in data quality, the purpose of this study is to create actionable guidelines for testing and reporting data quality, building on current practice and expanding it to address fitness for use and alignment with clinical meaning.

Study Aims

  1. Define specific guidelines for testing that allow users to assess the fitness of data for a given use, and design analytic components to address data quality issues.
  2. Develop freely available assessment and reporting tools for these guidelines to enhance dissemination to study teams and network developers.
  3. Test the standards and tools generating evaluative feedback and a repository of results for future benchmarking.

Results

Data quality assessment modules and results can be browsed in this repository.

Development Code

Vocabulary

Clinical Subjects Headings

Related Code

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Study-Specific Quality, Utility, and Breadth Assessment
Created:2025-11Affiliation:PEDSnet Data Coordinating Center
This suite of R packages allows one to investigate multiple facets of data quality and customize analyses based on your study-specific needs. Each module allows up to 8 different analyses in either the OMOP or PCORnet CDM, all aimed at taking a different view of the data while still addressing the same data quality probe.

##### [View pkgdown summary here.](https://ssdqa.github.io/squba/)

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Creative Commons license

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

Cite this Study

Bailey, C. Semantic Data Quality Standards for Multi-Center Clinical Research Studies and Networks. [Study]. PEDSpace Knowledge Bank. https://hdl.handle.net/20.500.14642/729

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