Consortium-driven rapid software validation for Research Electronic Data Capture (REDCap)

There is a growing trend for studies run by academic and nonprofit organizations to have regulatory submission requirements. As a result, there is greater reliance on REDCap, an electronic data capture (EDC) widely used by researchers in these organizations. This paper discusses the development and implementation of the Rapid Validation Process (RVP) developed by the REDCap Consortium, aimed at enhancing regulatory compliance and operational efficiency in response to the dynamic demands of modern clinical research. The RVP introduces a structured validation approach that categorizes REDCap functionalities, develops targeted validation tests, and applies structured and standardized testing syntax. This approach ensures that REDCap can meet regulatory standards while maintaining flexibility to adapt to new challenges. Results from the application of the RVP on recent successive REDCap software version releases illustrate significant improvements in testing efficiency and process optimization, demonstrating the project's success in setting new benchmarks for EDC system validation. The project's community-driven responsibility model fosters collaboration and knowledge sharing and enhances the overall resilience and adaptability of REDCap. As REDCap continues to evolve based on feedback from clinical trialists, the RVP ensures that REDCap remains a reliable and compliant tool, ready to meet regulatory and future operational challenges.

Authors

Institutions

Publication Details

Journal
Journal of Clinical and Translational Science
Published
2024-12-12
DOI
https://doi.org/10.1017/cts.2024.671
Citations
4
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
4.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Consortium-driven rapid software validation for Research Electronic Data Capture (REDCap)

Paul A. Harris, Teresa Bosler, Alex Cheng, Michelle Jones et al.
4 citations
Journal of Clinical and Translational Science
Scientific Computing and Data Management
4.20
article

Consortium-driven rapid software validation for Research Electronic Data Capture (REDCap)

Paul A. Harris, Teresa Bosler, Alex Cheng, Michelle Jones, Theresa Baker, Adam L.C. De Fouw
article en
4 citations

Abstract

There is a growing trend for studies run by academic and nonprofit organizations to have regulatory submission requirements. As a result, there is greater reliance on REDCap, an electronic data capture (EDC) widely used by researchers in these organizations. This paper discusses the development and implementation of the Rapid Validation Process (RVP) developed by the REDCap Consortium, aimed at enhancing regulatory compliance and operational efficiency in response to the dynamic demands of modern clinical research. The RVP introduces a structured validation approach that categorizes REDCap functionalities, develops targeted validation tests, and applies structured and standardized testing syntax. This approach ensures that REDCap can meet regulatory standards while maintaining flexibility to adapt to new challenges. Results from the application of the RVP on recent successive REDCap software version releases illustrate significant improvements in testing efficiency and process optimization, demonstrating the project's success in setting new benchmarks for EDC system validation. The project's community-driven responsibility model fosters collaboration and knowledge sharing and enhances the overall resilience and adaptability of REDCap. As REDCap continues to evolve based on feedback from clinical trialists, the RVP ensures that REDCap remains a reliable and compliant tool, ready to meet regulatory and future operational challenges.

Journal of Clinical and Translational ScienceVol. 9(1)
Cincinnati Children's Hospital Medical Center (US), University of Wisconsin–Madison (US), University Medical Center (US), Vanderbilt University Medical Center (US)
Yale University, Vanderbilt University, Cincinnati Children's Hospital Medical Center, Vanderbilt Institute for Clinical and Translational Research, Thomas Jefferson University, University of South Carolina, Vanderbilt University Medical Center, Yale New Haven Hospital, University of Alberta
Openalex Percentile: Top 5%
Scientific Computing and Data Management
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.