Developing an automated testing framework to support the validation of
REDCap, an electronic data capture system
Abstract
REDCap, a widely used electronic data capture tool for clinical and
translational research, receives crucial support from various committees
and groups within the extensive network of institutional collaborators
known as the REDCap Consortium. For example, the Regulatory and Software
Validation Committee defines and releases manual validation test scripts
intended to aid institutions in the testing and validation efforts of
their institutional REDCap deployments. Although these resources are
important and valuable, the manual testing process itself has certain
limitations such as time-consuming test execution and potential for
inconsistent database state.
To address some of the limitations of manual testing, a group of
software developers within the Regulatory and Software Validation
Committee wrote and released automated feature test scripts using an
automated testing framework called the REDCap Cypress Test Framework.
This report provides an overview of the REDCap Cypress Test Framework
and its potential to improve the testing and validation of REDCap
through automated testing.