Measuring the aggregated impact of research: Establishing criteria for coding Translational Science Benefits Model data

Introduction: A promising approach to assessing research impact draws on the Translational Science Benefits Model (TSBM), an evaluation model that tracks the applied benefits of research in four domains: Clinical and Medical; Community and Public Health; Economic; and Policy and Legislative. However, standardized methods to verify TSBM benefit data, to aid in aggregating impact data within quantitative summaries, do not currently exist.
Methods: A panel of 11 topic experts participated in a modified Delphi process to establish content and face validity of a set of criteria for verifying qualitative TSBM data. Panelists were each affiliated with a Clinical Translational Science Award (CTSA) hub, including those at: Case Western Reserve University, Duke University School of Medicine, Medical University of South Carolina, University of Miami, University of Minnesota, University of New Mexico, and Washington University in St. Louis. Two survey rounds were completed by panelists, with a mode..., , , # Measuring the Aggregated Impact of Research: Establishing Criteria for Coding Translational Science Benefits Model (TSBM) Data

Dataset DOI: [10.5061/dryad.zkh1893j9](10.5061/dryad.zkh1893j9)

## Description of the data and file structure

This data is from a Delphi panel used to establish the content and face validity of a set of criteria for verifying qualitative Translational Science Benefits Model (TSBM) data. A panel of 11 topic experts participated in a modified Delphi process. Two survey rounds were completed by panelists, with a moderated discussion in between rounds to discuss criteria not reaching consensus. Criteria with panel consensus at or above 70% from the survey rounds were confirmed as validated.

### Files and variables

#### File: DelphiPanelTSBMCriteria\_DATAfull6.16.2025.csv

**Description:** 

The dataset available contains data from 3 surveys. One survey collected screening information about panelist’s experiences with collecting, analyzing, and reporting TSBM ..., Names, emails, and institution information was collected in the Screener Survey to determine who was eligible and available to participate in this project. Names, emails, and institutions have been removed from the dataset posted on Dryad. We received consent to publish the de-identified data in the public domain.