Fine-tuning Strategies for Classifying Community-Engaged Research Studies Using Transformer-Based Models: Algorithm Development and Improvement Study.

ABSTRACT:

Background

Community-engaged research (CEnR) involves institutions of higher education collaborating with organizations in their communities to exchange resources and knowledge to benefit a community's well-being. While community engagement is a critical aspect of a university's mission, tracking and reporting CEnR metrics can be challenging, particularly in terms of external community relations and federally funded research programs. In this study, we aimed to develop a method for classifying CEnR studies that have been submitted to our university's institutional review board (IRB) to capture the level of community involvement in research studies. Tracking studies in which communities are "highly engaged" enables institutions to obtain a more comprehensive understanding of the pre

SUBMITTER: Ferrell BJ 

PROVIDER: S-EPMC9944122 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature