Toward a science of translational science

Area of Science:

• Biomedical and Health Sciences
• Research Evaluation
• Science of Science

Background:

• Translational research has grown significantly, with increased funding and publications.
• Existing measurement approaches are often narrow, focusing on projects or processes.
• These methods fail to adequately assess the progress of large-scale translational research initiatives.

Purpose of the Study:

• To highlight the limitations of current methods for evaluating translational research.
• To propose a new framework for assessing translational research impact.
• To advocate for the adoption of scientometrics and network science in research evaluation.

Main Methods:

• Review of existing measurement techniques in translational research.
• Analysis of the applicability of industrial engineering approaches.
• Exploration of scientometrics and network science methodologies.

Main Results:

• Traditional methods are inadequate for evaluating complex translational research networks.
• Scientometrics and network science offer more systematic and comprehensive assessment tools.
• A shift in methodology is crucial for accurately measuring translational research impact.

Conclusions:

• Current evaluation methods for translational research are insufficient.
• Scientometrics and network science provide a robust alternative for impact assessment.
• Adopting these advanced techniques is essential for understanding the value of translational research investments.