A sandbox is an isolated testing environment that enables users to run programs or execute files without affecting the application, system, or platform on which they run. The sandbox allows developers to test programming code for optimal use of the tool.
The CD2H sandbox environments enable CTSA hubs to develop, evaluate, and share tools and methods with the translational research community.
Cloud-based Sandbox for Analytics (Natural Language Processing)
A continuation of Phase II collaborative work with the Informatics Enterprise Committee (iEC) working group, this project aims to deploy a suite of natural language processing (NLP) tools and realize evaluation measures and tools as well as best practices.
Cloud-based Sandbox for Best Practices in Clinical Machine Learning (ML)
A sandbox project designed to create a best practices platform for deploying and evaluating clinical machine learning tools and algorithms. Goals include provisioning community-vetted solutions to common clinical machine learning challenges, including data preparation, analysis of bias sources, and evaluation/validation of algorithms.
Cloud-based Sandbox for the Evaluation of Data Quality Assessment Methods
A sandbox project designed to develop, evaluate, and share tools and methods for data quality assessment. This sandbox project will include a pilot that leverages the Accrual to Clinical Trials (ACT) Network data to understand the quantity and completeness of ACT data and differences in coding practices across institutions.