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Data Sharing and Interoperability for Data Trusts Workshop: Summary Report

Authors: Markovic, Milan; Leontidis, Georgios; Enright, Jessica; Durrant, Aiden; Matthews, David; May, David;

Data Sharing and Interoperability for Data Trusts Workshop: Summary Report

Abstract

Data sharing has been at the forefront of technologically driven domains, enabling advancements in system efficiency via data driven mechanisms, and improving traceability and transparency within safety critical domains. Yet data sharing is fraught with challenges both technological (e.g. interoperability, data quality and privacy) and social (e.g. regarding power dynamics, equality). The Data Sharing and Interoperability IoFT Working Group1 was formed to investigate the feasibility and implementation of data trust strategies and technological implementations to address the challenges posed by data sharing in the agri-food sector (ODI, 2020a). The group organised a workshop titled Data Sharing and Interoperability for Data Trusts which took place virtually on November 4th, 2020. The workshop offered opportunities to learn about recent technological advancements for transparency and traceability, and identification of the role that data trusts may play in agri-food under different incarnations of a data trust model. Furthermore, the workshop provided a forum for discussion of these topics, helping to identify and address key opportunities and challenges posed by data trusts in agri-food and how to potentially address them. 21 participants attended the half-day workshop, which consisted of 2 plenary talks, and 2 breakout discussions. The attendees varied in background including academia, industry and policy makers.

This work was supported by an award made by the UKRI, EPSRC funded Internet of Food ThingsNetwork+ grant EP/R045127/1.

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Keywords

Data Sharing, Data Trusts, Interoperability, Agri-Food

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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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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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