Research Evaluation System
Showcase Your Research ROI with EVAL
Demonstrate the impact of your research to the NCI, NIH, and your organizational leadership.
UW Carbone Cancer Center Improves CCSG Data Management Processes with EVAL
Using Advarra’s Research Evaluation System (EVAL), UW Carbone Cancer Center improved their CCSG renewal processes and data integrity.
Deliver valuable insight to your research leadership
EVAL comes packaged with Insights dashboards, allowing you to quickly access information related to the output of programs, teams, departments, and the institution as a whole. Associate team members with high-impact publications, evaluate grant recipient output, demonstrate your institution’s collaboration, and much more. Insights is ideal for demonstrating the value of your research to internal leadership and to show progress toward CCSG and CTSA goals.
A Purpose-built Clinical Research Cloud Platform
Built upon clinical research best practices, Advarra Cloud is a next-generation platform delivering applications in an easy-to-use, fully managed environment. Learn how the Cloud can help you automate, connect, and expedite processes across the clinical trial lifecycle.
Research Evaluation System (EVAL) FAQs
What reporting features does EVAL provide?
Standard reports in EVAL include CCSG Data Tables 1 and 2, CTSA Common Metrics reports, and a constantly-evolving collection of operational reports and data visualizations. Additionally, customers can create their own custom reports and share them with other organizations using EVAL.
Who hosts EVAL? Does my IT team need to be involved?
Advarra hosts EVAL, allowing you to get up and running quickly without any internal IT resources. This also allows for seamless system upgrades with no disruptions to your workflows.
How long does it take to implement EVAL?
With our Rapid Value Implementation (RVI), your organization can implement EVAL in as little as five weeks. RVI provides you with immediate value from EVAL, and minimizes interruptions to both everyday operations and dependence on legacy systems.