How the UF Health Cancer Center Improved Processes for Showing Research ROI

Ashley Toy
Product Marketing Manager, Forte
December 5th, 2018

Applying for the Cancer Center Support Grant (CCSG) is a difficult process to manage, especially for centers applying for the first time when seeking NCI-designation. The CCSG application process is complex and resource-intensive, especially when data is decentralized, and processes are not clearly defined.

This is the story of how the University of Florida Health Cancer Center (UFHCC) improved their system for telling their full research story.

The experience at UF Health Cancer Center

In order to compile the necessary information for their CCSG application, UFHCC needed to get data from disconnected systems, compare multiple spreadsheets and manually analyze the results. The process was inefficient and complicated and wasn’t producing the results they needed.

“There’s too many webs to weave between publications and shared resource usage and grants and personnel to do it all in Excel. It’s nearly impossible,” said CCSG Coordinator and Research Administration Manager Natalie Roman.

 “Being realistic, we posed the problem to leadership, saying, ‘If tracking is all we’re going to do, then it’s fine. But if you want to connect the dots, something better has to be done.”

Demonstrating research ROI with Forte’s Research Evaluation System (EVAL)

To solve this problem, UFHCC chose EVAL to help them showcase their research to the NCI throughout their CCSG application process.

EVAL was built in collaboration with Forte’s customer community to help address the challenge of meaningfully connecting data related to investigators, grants, publications and more in a single location.

Using Forte’s Rapid Value Implementation (RVI), UFHCC was able to start using EVAL in their administrative processes in just five weeks.

The results

To see how UFHCC has benefitted from using EVAL to make meaningful connections with their research data, download the case study, “UF Health Cancer Center Leverages EVAL to Showcase the Value of Their Research Portfolio”.

Data Management Metrics

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