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SU09(26) Tender for Data Collection for Survey-based Study of the 2026 Senedd Election

Swansea University

Buyer Contact Info

Buyer Name: Swansea University

Buyer Address: Procurement, Finance Dept., Swansea, UKL18, SA2 8PP, United Kingdom

Contact Name: Sue Davies

Contact Email: sue.davies@swansea.ac.uk

Contact Telephone: +44 1792 295890

Status
active
Procedure
open
Value
306667.0 GBP
Gross: 368000 GBP
Published
10 Sep 2025, 10:36
Deadline
10 Oct 2025, 11:00
Contract Start
n/a
Contract End
n/a
Category
services
CPV
72300000 - Data services
Region
n/a
Awarded To
n/a
Official Source
Open Find a Tender

Description

The Senedd election is scheduled to take place by May 7th, 2026. In order to study this election, the project academic leadership team of Prof Matthew Wall (Swansea University), Dr Bettina Petersohn (Swansea University), and Dr Anwen Elias (Aberystwyth University) are leading a survey-based research project seeking to capture and disseminate representative data on Welsh voters’ attitudes, behaviours, and socio-demographic attributes (including an enhanced focus on the themes of ‘place, power, and political engagement’). The wider project toward which this work will contribute is entitled ‘The 2026 Welsh Election Study: Place, Power, and Political Engagement’ In this procurement process, Swansea University is seeking tender submissions from survey providers to undertake a series of representative sample survey waves of the Welsh electorate, encompassing one pre-campaign wave, one in-campaign wave, and one post-campaign wave. The overarching aim of the WES 2026 Survey is to implement a high-quality data collection strategy to capture voters’ attitudes and behaviours pre-election, during the campaign, and after the Senedd election in May 2026, resulting in a cutting-edge public opinion data resource that is, as far as possible, robust, representative, and generalisable for inference about the Welsh electorate. The research team has identified push-to-web as the representative sampling methodology that they will deploy. A clear, granular account is required of how this approach will be rolled out to deliver 3 x representative samples across the project timetable (see section 9). A minimum n of 2,000 is stipulated for each survey wave, but the approach is one that prioritises data quality over quantity. As such, an emphasis is sought on the survey frame coverage, on the randomisation of selection, and on the protocols to secure a 20% plus response rate, as well as the generation of survey data weights. In addition and as stipulated above, an approach is also sought to the provision of anonymized respondent location data using the ONS Output Areas system. The project is funded by UK Research and Innovation’s (UKRI) Economic and Social Research Council (ESRC). WES 2026 is part of a UK-wide set of national election studies, and its work supports the delivery of ESRC’s data infrastructure strategy. The total maximum budget for this work is £368,000.00 (inclusive of VAT, all Welsh language translation & all expenses) This tender is being conducted electronically via etenderwales BravoSolution, where the tender documents can be found in project 31576 and itt 119846. A completed Tender Questions and Response Document (tender document 2) and a Price Schedule (tender document 5) are required to be uploaded onto the etenderwales BravoSolution website by the tender submission deadline of 12 noon on Friday 10th October 2025 in order to be considered, since the contract will run from November 2025 to November 2026.

Linked Documents

No linked documents found for this notice.

Opportunity Context

More Information Links

External Link: https://www.find-tender.service.gov.uk/Notice/055307-2025

Link Description: Tender notice on Find a Tender

Lots

Lot 1 Status: active

Lot 1 Value: GBP 306,667

Lot 1 Value (Gross): GBP 368,000

Lot 1 Contract Start: 2025-11-14T00:00:00+00:00

Lot 1 Contract End: 2026-11-30T23:59:59+00:00

Lot 1 SME Suitable: Yes

Lot 1 Award Criterion (quality): Track Record & its Application to this Project (30%)

Lot 1 Award Criterion (quality): Proposed Sampling, Fieldwork, Processing and Data Finalisation Approach (40%)

Lot 1 Award Criterion (quality): Project Management Plan (10%)

Lot 1 Award Criterion (cost): Price Schedule Costs (20%)

Documents

Document Description: Not published

Document Description: Tender notice on Find a Tender

Raw Notice JSON

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