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Related Experiment Videos

Distributed data analysis in a multicenter study: the CARDIA Study.

L L Perkins1, G R Cutter, L E Wagenknecht

  • 1School of Public Health, University of Alabama, Birmingham 35294.

Controlled Clinical Trials
|February 1, 1992
PubMed
Summary
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Distributed data analysis (DDA) in the Coronary Artery Risk Development in Young Adults (CARDIA) study proved useful. This approach facilitated quicker, more diverse publications and efficient use of resources.

Area of Science:

  • Epidemiology
  • Clinical Trials
  • Health Research Methodology

Background:

  • Distributed data entry is common in large studies, but distributed data analysis (DDA) is novel.
  • The Coronary Artery Risk Development in Young Adults (CARDIA) Study implemented a DDA system.
  • Traditional coordinating centers manage data entry; DDA shifts analysis responsibilities to participating centers.

Purpose of the Study:

  • To evaluate the usefulness and operational success of a distributed data analysis system.
  • To assess the impact of DDA on publication rates and resource utilization.
  • To understand the evolving role of coordinating centers in DDA.

Main Methods:

  • The CARDIA Study distributes its complete examination dataset to participating centers post-collection.

Related Experiment Videos

  • Participating centers conduct data analysis independently.
  • The coordinating center manages collation, monitoring, verification, and documentation of the DDA system.
  • Main Results:

    • The DDA system was successfully implemented and operated.
    • Within 3.5 years of baseline data collection, 21 manuscripts were submitted for publication.
    • These publications originated from analyses conducted at six participating centers.

    Conclusions:

    • Distributed data analysis is a viable and effective model for large-scale research.
    • DDA enhances publication output and optimizes the use of center-specific expertise.
    • Coordinating centers require adapted, yet substantial, roles in managing DDA systems.