Core Objective: Develop innovative and compliant data ecosystems using advanced technologies to ease compliance for businesses and professionals, and to address limitations of real-world data by leveraging synthetic data.
Target Recipient Type: Legal entities (businesses, public organizations, research entities) of any size.
SECTOR-SPECIFIC
Geographic Scope: EU Member States, Iceland, Norway, associated countries, and OECD countries.
Key Filtering Criteria: Focus on digital technologies, data ecosystems, AI, compliance, and synthetic data. Applicants must be established in eligible countries.
Grant Frequency and Context: This is a single-stage call within the Horizon Europe Work Programme 2025, specifically under 'Digital, Industry and Space', part of the 'AI, Data and Robotics Partnership'.
Financial Structure
Minimum grant amount per project: 7,000,000 EUR.
Maximum grant amount per project: 9,000,000 EUR.
Total estimated budget for this topic: 45,000,000 EUR (expected to fund 6 grants).
Currency: EUR.
Funding Type: HORIZON Innovation Actions (IA). Funding rates for Innovation Actions are not explicitly detailed in the provided text but typically cover up to 70% of eligible costs (100% for non-profit public bodies).
Financial reporting and audit requirements are governed by the general Horizon Europe rules, as described in Annex G of the Work Programme General Annexes.
Eligibility Requirements
Organizational Type and Location
Legal entities established in EU Member States, Iceland, or Norway.
Legal entities established in countries associated with Horizon Europe.
Legal entities established in OECD countries.
Exclusion Criteria: Entities directly or indirectly controlled by a non-eligible country or non-eligible country entity are not permitted to participate, due to the Union's strategic interests.
Financial and Operational Capacity
Applicants must demonstrate sufficient financial and operational capacity, as detailed in Annex C of the Horizon Europe Work Programme General Annexes.
Standard application form for 'HE RIA, IA' available in the Submission System.
'Ownership Control Declaration'.
Any other supporting materials as specified in the application form.
Application Procedure
Proposals must be submitted electronically via the Funding & Tenders Portal Submission System.
Access the submission service by clicking the appropriate button next to the 'HORIZON Innovation Actions' type of action.
Support and Guidance
Comprehensive guidance is available through the Online Manual, Horizon Europe Programme Guide, and Funding & Tenders Portal FAQ.
Assistance can be obtained from National Contact Points (NCPs), Enterprise Europe Network (EEN) for SMEs, and the IT Helpdesk for technical issues.
Specific advice on intellectual property is available from the European IPR Helpdesk, and on standardization from CEN-CENELEC and ETSI Research Helpdesks.
A partner search tool is available to help find collaborators.
Evaluation Criteria
Excellence
Soundness of the proposed methodology and clarity of objectives for developing innovative data ecosystems.
Quality and relevance of the proposed actions in addressing one or more of the specified areas: advanced compliance technology, auto-compliance for data transactions/spaces, or synthetic data generation/management/leverage.
Impact
Credibility of pathways to achieve significant impact in easing compliance, enhancing competitiveness, and improving data quality/safety/ethical use.
Effectiveness of plans for dissemination, exploitation, and communication of results.
Quality and Efficiency of Implementation
Coherence and effectiveness of the work plan, including the proposed activities and timelines.
Appropriateness of resource allocation and management structure.
Quality of the consortium (if applicable), including the competence and complementary of the participants.
Topic-Specific Factors
Analysis and addressing of 'real needs' of users and stakeholders.
Clear linkage between user training, user needs, and 'tangible progress indicators'.
Attention to cybersecurity, interoperability, reproducibility, and standardization.
For synthetic data projects, addressing inherent shortcomings of real-world data and ensuring robust evaluation, validation, and benchmarking for safe, ethical, and compliant use, including bias mitigation.
Compliance & Special Requirements
Regulatory Compliance
Projects must ensure compliance with relevant EU legislation, including but not limited to GDPR, Open Data Directive, Data Governance Act, AI Act, and Data Act, as well as legislation related to green deal, due diligence, healthcare, and transport.
Solutions developed should simplify and automate compliance processes for businesses and professionals.
Strategic and Collaboration Requirements
Actions should contribute to the Union's strategic autonomy and security, avoiding technological dependency on non-EU sources where critical.
Synergies are expected with Digital Europe programme topics implementing Common European Data Spaces, particularly with the Data Spaces Support Centre (DSSC).
Technical and Ethical Standards
Where relevant, proposals must address cybersecurity, interoperability, reproducibility, and standardization.
Emphasis is placed on the safe, ethical, and compliant use of synthetic data, including analysis and mitigation of biases inherited or introduced.
Ensuring adequate levels of security and protection for data sharing is crucial.
Cross-Cutting Considerations
The integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement for this topic.
Grant Details
compliance
synthetic data
data ecosystems
artificial intelligence
ai
robotics
data governance
privacy preserving technologies
blockchain
interoperability
industrial data spaces
digital twins
cyber-physical systems
internet of things
virtual worlds
healthcare
manufacturing
mobility
energy
quantum technologies
communication networks
5g
6g
cloud computing
edge computing
language technologies
nlp
neuromorphic computing
machine learning
generative models
simulation
data quality
data diversity
data representativeness
bias mitigation
data security
data protection
fair principles
european union
innovation action
Fostering Innovative and Compliant Data Ecosystems (IA) (AI, Data and Robotics Partnership)
HORIZON-CL4-2025-03-DATA-13
Horizon Europe
OTHER
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