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)
Funder(s)
This research was made possible through the generous support of the Patient-Centered Outcomes Research Institute .
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
- 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.
- Develop freely available assessment and reporting tools for these guidelines to enhance dissemination to study teams and network developers.
- 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.
- Browse the Data Quality Module Collection.
- Browse the Data Quality Results Collection.
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Creative Commons license
Except where otherwised noted, this item's license is described as a CC-BY 4.0 Attribution license.