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Horizon Europe · European Union

Developing a model for a Data Lab for Science linking with EOSC and RAISE (RAISE pilot) (CSA)

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The EU's Horizon Europe programme expects to make 1 award of €1 million, from a total budget of €1 million. Applications close on 2 Feb 2027 (EU calls usually close at 17:00 Brussels time). Organisations in EU member states and Horizon Europe associated countries such as Türkiye can usually take part; the topic conditions control.

Expected outcome

Project are expected to contribute to the following outcomes:

• a sustainable operational model and reference blueprint for a Data Lab for Science linking with the European Open Science Cloud (EOSC) and the Resource for AI Science in Europe (RAISE), enabling researchers to accelerate the uptake of AI in Science;

• easier access for researchers to large amounts of AI-ready research data, and to associated high-quality data services to seamlessly develop and train AI models for science; and

• better alignment, interoperability and scaling across countries and disciplines of AI workflows and related services such as data pooling, anonymisation, curation, or synthetic data generation.

Scope

Data Labs are introduced in the Data Union Strategy as a connector between AI factories and the Common European Data Spaces, providing specialised services to enable turning data into useable resources for AI training and the development of AI applications such as data pooling, curation, pseudonymisation, and synthetic data generation.

A significant number of tools and services within the scope of the Data Lab concept have been developed by research infrastructures and scientific service providers, notably organisations that operate or contribute resources to EOSC, the Common European Data Space for research and innovation.

The development of Data Labs addressing the needs of scientists is a key element in the AI in Science strategy, as a collaboration between RAISE and EOSC. This action aims to anchor the implementation of the Data Lab model with the development of EOSC and RAISE. The Data Lab for science will be a key deliverable and a key element of the data work strand of RAISE.

Who can apply

A single organisation from an EU Member State or associated country can apply (Horizon Europe standard rule).

Applicant categories are a starting point. The official call decides eligibility.

Timing

Single-stage call. Next deadline 2027-02-02. The portal states the exact cut-off time (EU calls usually close at 17:00 Brussels time).

How to apply

1. Read the full topic on the Funding & Tenders Portal: expected outcome, scope, type of action and the topic conditions, including any country restrictions.
2. Register each participating organisation in the Funding & Tenders Portal to get a PIC.
3. This topic is for a single applicant: no consortium is needed (check the topic conditions for who qualifies).
4. Prepare Part A (administrative forms and budget, completed in the portal) and Part B (the technical description on the official template for this type of action).
5. Submit in the portal before the cut-off time on the deadline day. Late submissions are not accepted.

From the call text

Who can apply

Not stated in the call text we hold — check the official page

Company stage

Not stated in the call text we hold — check the official page

Single applicant or consortium

Read the topic conditions on the EU Funding & Tenders Portal for eligible countries, consortium requirements, budget and the application route.

Where applicants must be based

Read the topic conditions on the EU Funding & Tenders Portal for eligible countries, consortium requirements, budget and the application route.

Where to apply

Read the topic conditions on the EU Funding & Tenders Portal for eligible countries, consortium requirements, budget and the application route.

Read the EU application guide

Official sources

Official call page

Facts on this page come from the official source and were last checked 14 Nov 2026. The funder's own documents, including later amendments, always take precedence.

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