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Identifying emerging research collaborations and networks: method development.

Ann M Dozier1, Camille A Martina, Nicole L O'Dell

  • 1Public Health Sciences, University of Rochester, Rochester, NY, USA.

Evaluation & the Health Professions
|September 11, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a low-burden method using social network analysis (SNA) to map clinical and translational research collaborations. The approach effectively documents emerging research networks and their productivity over time.

Keywords:
clinical and translational sciencedata collection methodsresearch collaborationsocial network analysisteam science

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Area of Science:

  • Medical research
  • Translational science
  • Network analysis

Background:

  • Clinical and translational research relies on multidisciplinary collaboration.
  • Evaluating the productivity and viability of these research networks is crucial.

Purpose of the Study:

  • To develop and assess a method for documenting emerging research networks and collaborations.
  • To describe the productivity and viability of these networks over time using social network analysis (SNA).

Main Methods:

  • An e-mail survey was sent to 1,620 faculty members to identify research collaborators.
  • Social network analysis (SNA) methods were applied using Pajek software to analyze the collected data.
  • The study focused on documenting network structures and collaborator identification.

Main Results:

  • Nearly 400 respondents identified 1,594 collaborators across 28 departments.
  • This resulted in the identification of 309 networks with 5 or more collaborators.
  • The low-burden approach yielded a rich dataset suitable for SNA.

Conclusions:

  • Social network analysis (SNA) is a feasible and effective method for evaluating clinical and translational research networks.
  • The developed method provides a rich dataset for assessing networks at multiple organizational levels.
  • This approach can be linked with other data to study network evolution.