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Related Experiment Videos

Web quality control for lectures: Supercourse and Amazon.com.

Faina Linkov1, Ronald LaPorte, Mita Lovalekar

  • 1University of Pittsburgh, Department of Epidemiology, 3512 Fifth Ave, Room 312, Pittsburgh, PA 15261, USA. fyl1@pitt.edu

Croatian Medical Journal
|December 13, 2005
PubMed
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New internet-based quality control models, inspired by Amazon.com, offer continuous improvement for scientific publishing. These approaches challenge traditional peer review and enhance research communication quality.

Area of Science:

  • Biomedical Communications
  • Internet Technologies
  • Scientific Publishing

Background:

  • Traditional peer review has been the cornerstone of biomedical journal quality control for 300 years.
  • The internet has spurred the emergence of new, yet under-investigated, quality control and peer review models.
  • Existing quality control systems in scientific communication require scientific assessment.

Purpose of the Study:

  • To explore alternative quality control models for scientific research communication on the internet.
  • To investigate the potential of e-commerce quality control systems, like Amazon.com's, for scientific publishing.
  • To assess the efficacy of novel internet-based approaches in improving research communication quality.

Main Methods:

  • Examining the quality control system utilized by Amazon.com as a model.

Related Experiment Videos

  • Applying and evaluating similar quality control approaches within the Supercourse digital lecture library.
  • Analyzing the integration of internet technologies for enhanced scientific communication quality control.

    • Main Results:

    • The Supercourse, a repository of 2,350 free prevention lectures, successfully employs quality control methods analogous to the Amazon.com model.
    • Internet-based quality control systems show promise as viable alternatives to traditional peer review.
    • Emerging models demonstrate potential for continuous quality improvement in online research communications.

    Conclusions:

    • E-commerce-inspired quality control systems offer a viable alternative to traditional peer review in scientific publishing.
    • Internet technologies can be leveraged to develop more effective and cost-efficient quality control systems for biomedical publications and all sciences.
    • Further scientific assessment of emerging quality control models is crucial for advancing scientific communication.