Awarded

Auto Classification Tool - RFP

Descriptions

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 Cancer Type Codes; Units of Assessment (UoA).

Please ensure you review all attached information to ensure a full understanding of this requirement. All attachments can be found with the Supplier Attachments tab within the Jaggaer eSourcing Portal.

This contract will be awarded based on the evaluation criteria as set out in the RFP document.

Timeline

Published Date :

8th Sep 2025 10 days ago

Deadline :

N/A

Tender Awarded :

1 Supplier

Awarded date :

N/A

Contract Start :

N/A

Contract End :

N/A

Keywords

software package and information systems

application software

IT systems

enterprise software

packaged applications

digital solutions

Tender Lot Details

2 Tender Lots

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Workflows

Status :

Awarded

Procedure :

N/A

Suitable for SME :

N/A

Nationwide :

No

Assign to :

Tender Progress :

0%

Details

Notice Type :

Tender

Tender Identifier :

IT-378-246-T: 2024 - 001

Tenderbase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Buyer Information

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement contact

Name :

Tina Smith

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk

Possible Competitors

1 Possible Competitors