Literature DB >> 24064431

Methods for identifying translational researchers.

Mary K Feeney1, Timothy Johnson, Eric W Welch.   

Abstract

There is currently no generally accepted method for identifying the community of translational researchers when evaluating Clinical and Translational Science Centers. We use data from the multiyear evaluation of the University of Illinois at Chicago Center for Clinical and Translational Science (CCTS) to investigate the complexities of reliably identifying translational researchers. We use three methods to identify translational researchers: (1) participating in CCTS services and programs; (2) self-identifying as a translational researcher; and (3) engaging in activities that are characteristic of translational science. We find little overlap of these differently defined research groups. We conclude with a discussion of how the findings suggest challenges for evaluating translational science programs and the need for better definition, communication, and demonstration of translational science for scientists and evaluators.

Entities:  

Keywords:  CTSA; NIH; evaluation; surveys; translational

Mesh:

Year:  2013        PMID: 24064431      PMCID: PMC4221284          DOI: 10.1177/0163278713504583

Source DB:  PubMed          Journal:  Eval Health Prof        ISSN: 0163-2787            Impact factor:   2.651


  2 in total

1.  Clinical and translational science awards: a framework for a national research agenda.

Authors:  Elias A Zerhouni; Barbara Alving
Journal:  Transl Res       Date:  2006-07       Impact factor: 7.012

2.  The meaning of translational research and why it matters.

Authors:  Steven H Woolf
Journal:  JAMA       Date:  2008-01-09       Impact factor: 56.272

  2 in total
  2 in total

1.  Scope, Influence, and Interdisciplinary Collaboration: The Publication Portfolio of the NIH Clinical and Translational Science Awards (CTSA) Program From 2006 Through 2017.

Authors:  Nicole Llewellyn; Dorothy R Carter; Deborah DiazGranados; Clara Pelfrey; Latrice Rollins; Eric J Nehl
Journal:  Eval Health Prof       Date:  2019-03-27       Impact factor: 2.651

Review 2.  Methods for identifying biomedical translation: a systematic review.

Authors:  Javier Padilla-Cabello; Antonio Santisteban-Espejo; Ruben Heradio; Manuel J Cobo; Miguel A Martin-Piedra; Jose A Moral-Munoz
Journal:  Am J Transl Res       Date:  2022-04-15       Impact factor: 3.940

  2 in total

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