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Related Experiment Videos

ComBase: a common database on microbial responses to food environments.

József Baranyi1, Mark L Tamplin

  • 1Institute of Food Research, Norwich Research Park, NR4 7UA Norwich, UK. jozsef.baranyi@bbsrc.ac.uk

Journal of Food Protection
|September 30, 2004
PubMed
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Predictive microbiology relies on accessible data. A new database protocol organizes bacterial behavior observations in food environments, creating the ComBase database for efficient data retrieval by researchers.

Area of Science:

  • Microbiology
  • Food Science
  • Data Science

Background:

  • Advancement in predictive microbiology requires comprehensive data on microbial behavior.
  • Existing data is often difficult to access and retrieve for research purposes.
  • Standardized data organization is crucial for the predictive microbiology community.

Purpose of the Study:

  • To describe a database protocol for organizing microbial behavior data.
  • To establish a publicly accessible database for predictive microbiology.
  • To facilitate efficient data retrieval for researchers studying bacterial responses in food.

Main Methods:

  • Developed a database protocol to capture observations of bacterial responses.
  • Integrated data from cooperating research institutes and scientific literature.

Related Experiment Videos

  • Created the ComBase database for predictive microbiology applications.

    • Main Results:

    • A structured database (ComBase) containing bacterial response data in food environments was established.
    • The ComBase database allows for efficient access and retrieval of critical information.
    • Data is publicly available via the Internet, supporting the research community.

    Conclusions:

    • The ComBase database protocol provides a standardized method for data organization.
    • This resource enhances the capabilities of predictive microbiology research.
    • Public accessibility of organized data is key to advancing the field.