DDaT25039 - Auto-Classification Tool - RFP
Reference ocds-h6vhtk-052b1d · UK Research and Innovation
Awarded to DIGITAL SCIENCE UK LIMITED for £1,264,533.
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Amounts and figures
Description
Brief Description of Requirement The service required is the ability to classify the UKRI portfolio of applications and awards (Research Councils, Research England, Innovate UK) to a pre-existing classification system. The need for automating the classification is to reduce time spend on manual categorisation and improve operational efficiency. The solution is to classify new applications and our historic portfolio. In addition, we require a solution to identify Trusted Research and Innovation for a quarterly report to the Department for Science, Innovation and Technology (DSIT). This is required to ensure continuity of delivering business critical reports to DSIT, International Aid Transparency Initiative (IATI), Annual reporting to boards, and being able to answer requests of ‘what have we funded in defined research areas’, that have a quick turnaround, for example Parliamentary Questions and Freedom of Information Requests. The classification systems required are: Sustainable Development Goals (SDG); OECD sector codes; Health Research Classification System (HRCS); Research, Condition and Disease Categorization (RC); Fields of Research (FoR); Common Scientific Outline and Cance…
Awards
| Lot | Awarded to | Amount | Date |
|---|---|---|---|
| 1 | DIGITAL SCIENCE UK LIMITED | £1,264,533 | — |
Official publications
| Medium | Reference | Date |
|---|---|---|
| FTS | 070129-2025 | 31 October 2025 |
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