# Advancing AI-readiness and Machine-Actionability in the EOSC Ecosystem
EUACC page: https://www.euacc.ai/calls/HORIZON-INFRA-2025-01-EOSC-03
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## Public content

**topic id:** HORIZON-INFRA-2025-01-EOSC-03
**call id:** HORIZON-INFRA-2025-01
**title:** Advancing AI-readiness and Machine-Actionability in the EOSC Ecosystem
**programme:** Horizon Europe
**cluster:** INFRA
**status:** closed
**deadline date:** 2025-09-18T00:00:00+00:00
**deadline model:** single-stage
**start date:** 2025-05-06T00:00:00+00:00
**url:** https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/HORIZON-INFRA-2025-01-EOSC-03
**description:** Expected Outcome:
Project results are expected to contribute to the following outcomes:
• EOSC will be advancing AI-readiness and Machine-Actionability (MA) in the ecosystem by offering AI-ready federated infrastructure and easy-to-use platform services for EOSC, in order to respond to one of the main challenges of research infrastructures for AI in science, namely the lack of interoperability between AI/ML solutions.
• EOSC will focus on integrating machine-actionable repositories within the ecosystem and demonstrating their reliability and effectiveness by collaborating with repository owners and service providers to implement MA tools and protocols, ensuring seamless integration with the EOSC EU Node.
 Scope:
Today, the sustainable FAIRification of data can be a bottleneck towards the goal of a European web of FAIR data and services. The use of AI/ML can significantly help in the process of FAIRification, data curation and data quality assurance, close to the source of the data. EOSC shall promote actions that give incentives to further advance AI-readiness and Machine-Actionability in the EOSC federation for FAIRification and to support their application.
European researchers need access to compute and repository services to develop, train and validate AI/ML models, in line with the GenAI4EU initiative and other key initiatives, like the Apply AI strategy, based on AI-ready research data from research infrastructures and third-party repositories. The proposed infrastructures should complement the EOSC EU Node capacity and be able to scale to a large number of users within transnational access to high-value datasets from national and European Research Infrastructure and e-Infrastructure ecosystems.
AI-based assistance tools shall be customised and trained for the discovery and composition of open science resources into custom workflows allowing researchers to discover and interact with open science infrastructures, combining relevant data, software and application assets.
Open Data and Open Research Software are essential for reliable, trustworthy, and transparent AI/ML. They ensure that datasets and algorithms are well documented, accessible, and reproducible, enabling others to validate and understand AI/ML algorithms. This transparency fosters trust, supports ethical standards, and ensures compliance with regulations, particularly important in the field of AI/ML.
The proposals should focus on all following aspects:
• Develop and prototype tools to drive machine-actionability in repositories, data, and services, establishing a network of trusted repositories linked to the EOSC EU Node; • formulate open protocols and policies to facilitate effortless data access, transfer, processing, and provenance updates within EOSC's repository and service network;
• deliver AI-based capabilities to make interoperable AI/ML solutions and facilitate the setup of custom workflows for research data processing;
• offer tools/services for automatic quality measures of inputs and outputs of the AI/ML models.
 
• Provide federated infrastructure services for serving AI models integrating horizontal and thematic EOSC nodes: • ensure capacities for AI model retraining and inference;
• take into account the whole research data life cycle, including raw data retention before AI modelling.
 
• Provide access to an easy-to-use technology platform offering reference implementations and recipes to quickly get started working with AI/ML with limited engineering overhead: • promote and apply state-of-the-art AI/ML operational best practices;
• validate reference implementations and share commonly used recipes within EOSC.
 
• Establish and/or provide access to existing AI/ML model repositories and services to serve models for retraining of generic models for specific needs for future predictions and reproducibility: • create AI/ML model repository and enhance FAIRness of existing AI/ML models;
• offer services for utilisation of these models, including fine-tuning and inference, thus providing the foundational building blocks for the development of AI applications in EOSC.
 
• Establish an EOSC AI/ML competency centre for the pooling of expertise and coordinated support on AI/ML use of data, compute infrastructure and AI/ML models for the upskilling and technical support of EOSC users and research operators, as a strategic asset that will enable a new paradigm for science production.
 The proposers should take into account and leverage on the results of relevant projects in the field, including EOSC Data Commons[1], and the other initiatives and projects contributing to the development of EOSC, especially in the area of machine-actionability and data FAIRification.
This topic implements the co-programmed European Partnership for the European Open Science Cloud.
null
Activities are expected to start at TRL 4 and achieve TRL up to 6 by the end of the project – see General Annex B.

[1] EOSC Data Commons, Grant agreement ID: 101188179 https://cordis.europa.eu/project/id/101188179
**conditions:** General conditions
1. Admissibility Conditions: Proposal page limit and layout
described in Annex A and Annex E of the Horizon Europe Work Programme General Annexes.
Proposal page limits and layout: described in Part B of the Application Form available in the Submission System.

2. Eligible Countries
described in Annex B of the Work Programme General Annexes.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon Europe projects. See the information in the Horizon Europe Programme Guide.

3. Other Eligible Conditions
Subject to restrictions for the protection of European communication networks.

The Joint Research Centre (JRC) may participate as member of the consortium selected for funding.

described in Annex B of the Work Programme General Annexes.

4. Financial and operational capacity and exclusion
described in Annex C of the Work Programme General Annexes.

5a. Evaluation and award: Award criteria, scoring and thresholds
are described in Annex D of the Work Programme General Annexes.

5b. Evaluation and award: Submission and evaluation processes
The following additions to the general award criteria apply: The extent to which the proposed work incorporates the necessary coordination efforts and resources with other relevant projects and the EOSC governance structure in the context of the EOSC Partnership will be taken into account for Impact.

are described in Annex F of the Work Programme General Annexes and the Online Manual.

5c. Evaluation and award: Indicative timeline for evaluation and grant agreement
described in Annex F of the Work Programme General Annexes.

6. Legal and financial set-up of the grants
Beneficiaries will be subject to the following additional access rights:
• Each beneficiary must grant royalty-free access to its results to the EOSC Association for monitoring and developing policies and strategies for the European Open Science Cloud. Each beneficiary must also provide directly to the EOSC Association the information the beneficiary deems necessary for monitoring and developing policies and strategies for the European Open Science Cloud.
• Each beneficiary must grant royalty-free access to its intellectual property rights which are part of the results and are needed for further developing the European Open Science Cloud to legal entities identified by the granting authority and established in Member States or countries associated to the Horizon Europe Framework Programme. Such access rights are limited to non- commercial use.
 Beneficiaries must deposit the digital research data generated in the action in a trusted repository federated in the European Open Science Cloud (EOSC) in compliance with EOSC requirements.
Eligible costs will take the form of a lump sum as defined in the Decision of 7 July 2021 authorising the use of lump sum contributions under the Horizon Europe Programme – the Framework Programme for Research and Innovation (2021-2027) – and in actions under the Research and Training Programme of the European Atomic Energy Community (2021-2025). [[This decision is available on the Funding and Tenders Portal, in the reference documents section for Horizon Europe, under ‘Simplified costs decisions’ or through this link: https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/guidance/ls-decision_he_en.pdf]].
Grants awarded under this topic will be linked through collaboration agreements to the grants from the following action:
HORIZON-INFRA-2025-01-EOSC-05: Using Generative AI (GenAI4EU) for Scientific Research via EOSC.

described in Annex G of the Work Programme General Annexes.

Specific conditions
 described in the specific topic of the Work Programme

Application and evaluation forms and model grant agreement (MGA):
 Application form templates — the application form specific to this call is available in the Submission System
Standard application form (HE RIA, IA)
Standard application form (HE CSA) 
Evaluation form templates — will be used with the necessary adaptations&#xa0;
Standard evaluation form (HE RIA, IA)&#xa0;
Standard evaluation form (HE CSA)&#xa0;
Guidance
HE Programme Guide&#xa0;
Model Grant Agreements (MGA)
HE MGA&#xa0;
HE Unit MGA&#xa0;
Lump Sum MGA&#xa0;
Operating Grants MGA&#xa0;
Framework Partnership Agreement FPA&#xa0;
Call-specific instructions&#xa0;
Detailed budget table (HE LS)&#xa0;
Information on financial support to third parties (HE)&#xa0;
Information on clinical studies (HE)&#xa0;
Guidance: "Lump sums - what do I need to know?"

Additional documents:
 HE Main Work Programme 2025 – 1. General Introduction
HE Main Work Programme 2025 – 3. Research Infrastructures
HE Main Work Programme 2025 – 14. General Annexes
HE Programme Guide
HE Framework Programme 2021/695 
HE Specific Programme Decision 2021/764&#xa0;
EU Financial Regulation 2024/2509
Decision authorising the use of lump sum contributions under the Horizon Europe Programme
Rules for Legal Entity Validation, LEAR Appointment and Financial Capacity Assessment&#xa0;
EU Grants AGA — Annotated Model Grant Agreement&#xa0;
Funding & Tenders Portal Online Manual&#xa0;
Funding & Tenders Portal Terms and Conditions&#xa0;
Funding & Tenders Portal Privacy Statement
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**keywords:** HORIZON-INFRA-2025-01-EOSC-03, HORIZON-INFRA-2025-01, Artificial intelligence, Big data, Digital Services and Platforms, Information systems
**last synced at:** 2026-11-09T17:23:17.403+00:00

## Review record

No independent verification record is available.

## Source metadata
