Trusted Research Environment: architecture and implementation, a case study

Kingdon, A. ORCID: https://orcid.org/0000-0003-4979-588X; Kadochnikova, A.; Joseph, T.. 2025 Trusted Research Environment: architecture and implementation, a case study. Nottingham, UK, British Geological Survey, 27pp. (OR/25/065) (Unpublished)

Before downloading, please read NORA policies.

Preview

Text OR25065.pdf Download (2MB) | Preview

Abstract/Summary

This report summarises a theoretical examination of the use of a Trusted Research Environment (TRE) for integrating static and dynamic environmental data sets. This work was funded through the UKRI Digital Research Infrastructure BOOST and AMPLIFY projects. The project proposal was predicated that an environmental TRE would be implemented by the University of Manchester hosted Digital Solution infrastructure. For technical reasons beyond the scope of this report, this has not been implemented within the timescale of the AMPLIFY project. Therefore, this report summarises the conceptual thinking for how a TRE might be implemented for a use case of provision of confidential water resource data. This requirement crosscuts data supplied by BGS, from the National Geoscience Data Centre (NGDC) and integrates it in combination with data supplied from a hypothetical and confidential water industry data source, and also a conceptual data source provided by an environmental regulator (such as the Environmental Agency for England or Scottish Environmental Protection Agency). The project objective is to provide an understanding of how a hypothetical model incorporating both geospatial and sensor driven modelling data sources could be implemented within a specimen TRE to demonstrate how this could be developed from both an architecture and modelling standpoint.

Item Type:	Publication - Report
Funders/Sponsors:	British Geological Survey
Additional Information:	This item has been internally reviewed, but not externally peer-reviewed.
Date made live:	05 Sep 2025 08:55 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/540180

Actions (login required)

View Item

Document Downloads

More statistics for this item...