How can data flows be rapidly improved, promoting data sharing across research, government and industry to allow secure collaboration?
Background
COVID-19 has posed a major economic shock, disrupting trade flows, stretching supply chains, and challenging international organisations that uphold systems of global governance as well as broader perceptions of international openness. Beyond immediate policy responses, evidence should support long-term recovery and economic security within the global rules-based system.
Next steps
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Source
This question was published as part of the set of ARIs in this document:
Topics
Related UKRI funded projects
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EOSC-ENTRUST: A European Network of TRUSTed research environments
The mission of EOSC-ENTRUST is to create a European network of trusted research environments for sensitive data and to drive European interoperability by joint development of a common blueprint for federated data access ...
Funded by: Horizon Europe Guarantee
Why might this be relevant?
Addresses the promotion of data sharing across research environments and secure collaboration.
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Promoting and Incentivising Federated, Trusted, and Fair Sharing and Trading of Interoperable Data ASsets (PISTIS)
PISTIS brings forward a reference federated data sharing/trading and monetisation platform for secure, trusted and controlled exchange and usage of proprietary data assets and data-driven intelligence. PISTIS will advanc...
Funded by: Horizon Europe Guarantee
Why might this be relevant?
Focuses on federated data sharing/trading and monetization, partially addressing the question.
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A roadmap and rich metadata catalogue for the analysis of federated sensitive data
Much data kept by public organisations such as Government departments contains sensitive data about UK citizens and businesses. Since the Digital Economy Act 2017, progress has been made to enable accredited researchers ...
Funded by: ESRC
Why might this be relevant?
Partially addresses the question by focusing on rich metadata cataloging and analysis of federated sensitive data.