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Rethinking team science metrics through Collaborative Guideposts.

Kristen J McQuerry1, Kelsey Karnik1, Megan E Hall1

  • 1Department of Biostatistics, University of Kentucky, Lexington, KY, United States.

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|April 27, 2026
PubMed
Summary
This summary is machine-generated.

Evaluating team science requires new metrics beyond publications. The Collaborative Guideposts framework aligns success measures with team goals, improving assessment of collaborative impact and sustainability.

Keywords:
collaboration metricsinterdisciplinary teamsresearch evaluationteam sciencetranslational impact

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Area of Science:

  • Team science
  • Collaborative research
  • Scientific evaluation

Background:

  • Interdisciplinary and transdisciplinary teams are increasingly common in science.
  • Traditional metrics (e.g., publications, citations) are insufficient for evaluating team science.
  • Assessing team success is challenging, especially for community engagement or mentorship.

Purpose of the Study:

  • Introduce the "Collaborative Guideposts" framework.
  • Align success metrics with team-specific organizing priorities.
  • Provide a structured yet flexible approach to evaluating team success.

Main Methods:

  • Illustrated the framework using two contrasting biostatistical collaboration center team models.
  • Team A: time-bound, community-focused, rapid deliverables, public health partnerships.
  • Team B: mentorship-driven, development-focused, capacity-building, scholarly growth.

Main Results:

  • Derived four "Collaborative Guideposts": Time Perspective, Unit of Assessment, Desired Outcomes, and Sustainability.
  • These Guideposts offer a structured method for capturing team success.
  • The framework enables more accurate and meaningful assessments of collaborative impact.

Conclusions:

  • The Collaborative Guideposts framework bridges theory and practice in team science evaluation.
  • It supports accurate assessment of collaborative impact and long-term sustainability.
  • Offers a pragmatic and adaptable model for evaluating diverse scientific collaborations.