<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/3196FCE0-D56A-4225-B774-D9DF09B37ABA" ns1:id="3196FCE0-D56A-4225-B774-D9DF09B37ABA"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/8456C00A-6EFE-4C5D-AB68-200EF40BEFD8" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/90E0AC37-98C7-41B3-A938-E82402B0C86F" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/90E0AC37-98C7-41B3-A938-E82402B0C86F" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/6B57D64D-182B-4847-8A8F-366E0669D013" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2016-11-30T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/03878446-59EA-4108-BABD-617E91C3D78B" ns1:rel="FUND" ns1:start="2014-08-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">101938</ns2:identifier></ns2:identifiers><ns2:title>VEDAT (Value Enhancement for Data from Assets &amp;amp; Transactions)</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>This proposal aims to &amp;quot;provide tools that enable intelligent, predictive modelling capabilities, including the integration and analysis of heterogeneous data types&amp;quot;. Uniquely we will seek to bring together disparate data that is currently unconnected to create a platform allowing not only high value benefits to be derived by isolated data community members but also collectively by the disparate data owner communities as a whole. The approaches planned for Data Exploration during this project, will culminate in novel approaches and techniques, and tools with applications across other challenged sectors that suffer &amp;quot;Data Silo&amp;quot; blackholes, across financial, engineering, biotech/informatics, and other complex disparate data environments.</ns2:abstractText></ns2:project>