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Related Experiment Videos

Comparative case study of two biomedical research collaboratories.

Titus K L Schleyer1, Stephanie D Teasley, Rishi Bhatnagar

  • 1Center for Dental Informatics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA. titus@pitt.edu

Journal of Medical Internet Research
|January 13, 2006
PubMed
Summary
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This study shows that collaboratories, using readily available tools, can support biomedical research centers. However, successful implementation requires addressing technical and social barriers to enhance scientific collaboration.

Area of Science:

  • Biomedical research
  • Health informatics
  • Scientific collaboration technologies

Background:

  • Large-scale, interdisciplinary research projects face challenges in efficient collaboration.
  • Collaboratories offer a novel approach to enhance teamwork in research settings.
  • Formal collaboratories are not yet standard in many biomedical research centers.

Purpose of the Study:

  • To compare and describe two collaboratories implemented in biomedical research centers.
  • To assess the use of off-the-shelf tools and modest resources for scientific activity.
  • To evaluate collaboratories supporting the AIDS Research Center and the Oral Cancer Center.

Main Methods:

  • User needs were assessed using semistructured interviews, surveys, and contextual inquiry.

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  • Commercial software was evaluated based on requirements and pilot-tested.
  • Implementation success was measured through utilization data, user surveys, and participant observation.
  • Main Results:

    • The HIV/AIDS Center utilized real-time interaction tools for project development and recruitment.
    • The Oral Cancer Center leveraged tools for distributed, asynchronous work in research groups.
    • Both centers successfully enhanced collaboration, with the HIV/AIDS Center attracting new scientists and the Oral Cancer Center facilitating data analysis and publication.

    Conclusions:

    • Implementing collaboratories with commercial tools is feasible for biomedical research centers.
    • Barriers include technical issues (platform, network, software maturity) and user literacy.
    • Enabling factors include funding incentives, collaborative culture, leadership, and task-appropriate tools.