Measuring the aggregated impact of research: Establishing criteria for coding Translational Science Benefits Model data
The results of this Delphi process lay the foundation for developing a TSBM coding tool for evaluating and quantifying TSBM data. Standardizing this process will enable data aggregation, group analysis, and the comparison of research impact across contexts.
Authors
- Nicole Miovsky
- Stephanie Andersen (ORCID: https://orcid.org/0000-0001-5372-5468)
- Jessica B. Sperling (ORCID: https://orcid.org/0000-0002-2443-3762)
- Rechelle Paranal
- Boris B. Volkov (ORCID: https://orcid.org/0000-0002-5412-3028)
- Beth Baldwin Tigges (ORCID: https://orcid.org/0000-0001-9821-8232)
- Margaret Schneider (ORCID: https://orcid.org/0000-0002-8314-0732)
- Rosalina Das
- Clara M. Pelfrey (ORCID: https://orcid.org/0000-0002-6108-7555)
- Amanda Woodworth (ORCID: https://orcid.org/0000-0003-4055-4625)
- Julie Heidbreder
Institutions
- Social Science Research Council (US)
- University of Minnesota (US)
- University of Miami (US)
- Medical University of South Carolina (US)
- University of New Mexico (US)
- Duke University (US)
- University of California, Irvine (US)
- Washington University in St. Louis (US)
- Clinical Research Institute (US)
- Southern California Clinical and Translational Science Institute (US)
- Miami Transplant Institute (US)
- Case Western Reserve University (US)
Publication Details
- Journal
- Journal of Clinical and Translational Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1017/cts.2025.76
- Citations
- 1
- Primary Topic
- Health and Medical Research Impacts
- Type
- article
- Field-Weighted Citation Impact
- 1.88
Funders
- University of Minnesota
- Washington University in St. Louis
- University of Cambridge
- National Institutes of Health
- University of California, Irvine