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A perspective on data sharing in digital food safety systems.

Chenhao Qian1, Yuhan Liu2, Cecil Barnett-Neefs3

  • 1Department of Food Science, Cornell University, Ithaca, NY, USA.

Critical Reviews in Food Science and Nutrition
|July 26, 2022
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Digital tools promise smarter food safety, but data sharing is hindered by privacy concerns. Innovative strategies and legal protections are crucial for balancing data utility and confidentiality in food safety systems.

Keywords:
Food safetydata privacydata utilitydecision support toolspredictive models

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Area of Science:

  • Food safety science
  • Digital health technologies
  • Data management

Background:

  • Digital tools offer significant potential for improving food safety.
  • Achieving "smarter food safety" relies on data availability and quality.
  • Willingness to share data is a major obstacle due to privacy and liability concerns.

Approach:

  • This review examines data requirements for digital food safety systems.
  • It explores various data categories and model types.
  • Key concerns regarding food safety data sharing, including confidentiality, are addressed.

Key Points:

  • Data sharing in food systems is limited by fears of data abuse, negative publicity, and liability.
  • Balancing data utility with privacy is essential for effective digital food safety.
  • Protecting sensitive data, such as human illness information, is paramount.

Conclusions:

  • Multifaceted solutions are needed to overcome data sharing obstacles.
  • Innovative privacy-preserving strategies and legal safeguards against data abuse are recommended.
  • Techniques like differential privacy and federated learning can maximize data utility while protecting privacy.