Development of the Food Label Information Program: A Comprehensive Canadian Branded Food Composition Database.

Journal: Frontiers in nutrition
Published Date: Feb 3, 2022

Abstract

OBJECTIVES: Traditional methods for creating food composition databases struggle to cope with the large number of products and the rapid pace of turnover in the food supply. This paper introduces Food Label Information Program (FLIP), a big data approach to the evaluation of the Canadian food supply and presents the latest methods used in the development of this database.

Authors

  • Mavra Ahmed
    Department of Nutritional Sciences, Temerty Faculty School of Medicine, University of Toronto, Toronto, ON, Canada.
  • Alyssa Schermel
    Department of Nutritional Sciences, Temerty Faculty School of Medicine, University of Toronto, Toronto, ON, Canada.
  • Jennifer Lee
    Department of Nutritional Sciences, Temerty Faculty School of Medicine, University of Toronto, Toronto, ON, Canada.
  • Madyson Weippert
    Department of Nutritional Sciences, Temerty Faculty School of Medicine, University of Toronto, Toronto, ON, Canada.
  • Beatriz Franco-Arellano
    Department of Nutritional Sciences, Temerty Faculty School of Medicine, University of Toronto, Toronto, ON, Canada.
  • Mary L'AbbĂ©
    Department of Nutritional Sciences, Temerty Faculty School of Medicine, University of Toronto, Toronto, ON, Canada.

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