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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
260
Network Analysis for Formative Evaluation of Collaborative, Team Science Research Partnerships.
Grace M Liu1, Meredith L Meadows1, Katherine T Wiley1
1Department of Human and Organizational Development, Vanderbilt University, Nashville, TN, USA.
Evaluation & the Health Professions
|August 18, 2023
Summary
Evaluating collaboration in cancer research partnerships is crucial for addressing health disparities. Network analysis of co-authorship effectively visualizes and assesses scientific collaboration patterns over time.
Area of Science:
- Oncology
- Public Health
- Network Science
Background:
- Cancer health disparities persist despite extensive efforts to mitigate them.
- Multi-institution research initiatives are a key strategy to address these disparities.
- Collaboration across institutions and disciplines is fundamental to the success of these initiatives.
Purpose of the Study:
- To introduce a novel method for evaluating collaboration within cancer research partnerships.
- To demonstrate the utility of network analysis for visualizing and assessing scientific collaboration patterns.
- To foster discussion and identify areas for improvement in collaborative research efforts.
Main Methods:
- Utilized network analysis of co-authorship data from academic publications.
- Visualized the growth and patterns of scientific collaboration across institutions, disciplines, and academic ranks.
- Presented network analysis results to internal and external advisory groups for feedback.
Main Results:
- Network analysis provided a visual representation of collaboration dynamics within the Meharry-Vanderbilt-Tennessee State University Cancer Partnership.
- The method allowed for the identification of collaboration growth, patterns, and potential areas for enhancement.
- Results facilitated discussions on partnership successes and opportunities for future improvement.
Conclusions:
- Basic network analysis of existing data, coupled with visualizations, offers a simple and effective approach to evaluate collaboration initiatives.
- This method can foster constructive dialogue and feedback among partners.
- Evaluating collaboration is essential for optimizing the impact of multi-institution research programs aimed at reducing cancer disparities.
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