ITS Logo
Important Information About Telecommuting during COVID-19

Research Toolkit

Welcome to the UCI Health Research Toolkit. The Research Toolkit includes informatics tools to support clinical research:

PVCE

The Protected Virtual Computing Environment (PVCE) is a HIPAA-compliant research computing environment for securely analyzing health data. Many commonly used analytical tools are readily available in PVCE. These include SAS, SPSS, Stata, R, Python, ArcGIS, and Excel. To request data for research please follow the instructions in the Request Data section.

REDCap

REDCap (Research Electronic Data Capture) is a secure web application for building and managing online surveys and databases for research studies. REDCap provides audit trails for tracking data manipulation and user activity, as well as automated export procedures for seamless data downloads to Excel, PDF, and common statistical packages (SPSS, SAS, Stata, R). Also included are a built-in project calendar, a scheduling module, ad-hoc reporting tools, and advanced features, such as branching logic, file uploading (size limit applies), and calculated fields.

Visit REDCap »

OnCore

OnCore is a clinical trial management system (CTMS). It is a secure web-based system that provides access to shared records, and is an effective and efficient way to streamline workflows and manage clinical and research data in one location.

OnCore features include:

  • Protocol Management
  • Biological Specimen Management
  • Subject Management
  • Staff Effort Tracking
  • Calendar Management
  • Community Outreach
  • Electronic Data Capture
  • De-Identified Data
  • Financial Management
  • Automated Notifications

Visit OnCore »

TriNetX

TriNetX is a commercial data sharing platform that allows cohort building and aggregate-level analyses with data contributed by a global network of 100+ participating institutions. UCI researchers can use TriNetX as a local cohort discovery tool to construct patient cohorts using UCI Health data. They can also use TriNetX to construct global cohorts and request patient-level data in a de-identified or LDS fashion from TriNetX’s Research Network.

Visit TriNetX »