data sharing (2)

13029567681?profile=RESIZE_400xThe Joint Research Centre (JRC) of the European Commission have published a report that includes an overview of food fraud information sharing networks and incident data held around the world.  (including both the Food Industry Intelligence Network, Fiin, and the 2022 Defra report FA0175 into food fraud drivers and mitigation tools).

The report recommends the funding of a new predictive analytics model to try and prioritise future fraud risks based on historic patterns of reported incidents.  This would be predicated on improved data sharing between different countries and between industry and governments.  The report recommends a public-private partnership model to develop the concept.

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11005123687?profile=RESIZE_710xDo you have an authenticity database or datasets?

The Food Authenticity Network (FAN) is undertaking a project on ‘Open Data’ funded by its Government Partners, which seeks to collate of list of organisations that have food authenticity datasets i.e. assessed foods or beverages against a reference database of authentic samples. This could be any analytical, physical or sensory testing technique, or combination of techniques, that matches against patterns of multivariate data.

We are interested to know about both proprietary in-house reference databases and uses of shared data sets. We would like to include both laboratories offering a current testing service and research groups and others who hold data from previous projects.

Photo by Markus Spiske on Unsplash

If you have, or use, reference datasets for an “authentic” food or beverage and are willing for this to be signposted on the FAN website then please contact: OpenData@foodauthenticity.global

Thank you

Food Authenticity Network Executive Team

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