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Food Data Trust: A framework for information sharing

Authors: Brewer, Stephen; Pearson, Simon; Godsiff, Philip; Maull, Roger;

Food Data Trust: A framework for information sharing

Abstract

This report examines the role of information sharing in ensuring safe food production supply networks and proposes a data trust framework that will more efficiently enable secure data sharing for the benefit of all stakeholders in the food system. This report was commissioned by the Food Standards Agency (FSA, project ref FS301083). This report is based on use cases involving field work, interviews, desk-based investigation and analysis from existing research. It builds on the work of the Internet of Food Things Network+ (EPSRC project grant number: EP/R045127/1) in the area of digital collaboration, in particular research work on Digital collaboration in the food and drink production supply chain. This report is supported by a companion legal report which was prepared in tandem. This report, entitled Food Data Trust: Legal, Structuring and Governance Report (DOI: 10.5281/zenodo.4575625), should be read in conjunction with Food Data Trust: A framework for information sharing.

This report was commissioned by the Food Standards Agency (FSA, project ref FS301083) and was first published on the FSA website on the 2nd March 2021: https://www.food.gov.uk/research/research-projects/food-data-trust-a-framework-for-information-sharing

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Keywords

trust framework, digital collaboration, data, governance, standards, trust, data trust, food system, supply chain

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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