European UnionNon-profit, Private Business, Research Institution, Public Institution
Federated CCAM data exchange platform (CCAM Partnership)
HORIZON-CL5-2026-01-D6-06
Funding Amount
€4.0M - €4.0M
Deadline
20/01/2026
Eligible Organization Types
Non-profit, Private Business, Research Institution, Public Institution
Trusted by
What is the Federated CCAM data exchange platform (CCAM Partnership) Call?
Grant Description
This innovation action addresses the fragmentation of data sharing in Cooperative, Connected and Automated Mobility by developing a federated CCAM Data Exchange Platform. It will analyse current limitations, harmonise ontologies, interfaces and standards, map data and KPI requirements, and propose governance and a sustainable business model. The platform will improve availability and accessibility of data for large-scale demonstrations, digital twins, safety assurance, AI training, regulatory mo...
Required Results for Successful Funding
Expected Outcomes
• Comprehensive overview of CCAM-specific limitations in current data exchange solutions and existing dataspaces (interfaces, ontologies, taxonomies, standards, formats, monetisation/compensation).
• Detailed mapping of information and reference data needs for CCAM KPIs collected by Member States and Associated Countries.
• A fully functional Federated CCAM Data Exchange Platform that interfaces existing dataspaces, enhances data availability, accessibility and interoperability, and supports large-scale demonstrations and deployment of CCAM services (digital twins, scenario representation, safety assurance, ADS monitoring, driver behaviour analysis, AI model training, KPI collection).
• A robust governance structure with a sustainability plan and viable business model ensuring the long-term operation of the Platform.
• Defined methods, algorithms and processes to refine, enrich and repurpose data for targeted CCAM use cases.
• Identification of GDPR impacts on AI learning workflows and proposed mitigation measures.
• Strong alignment and interoperability with the common European mobility data space and other EU data spaces through adoption of the Data Spaces Support Centre blueprint, Simpl middleware and FAIR principles.
• Demonstrable cooperation with FAME, SUNRISE, SYNERGIES, DEPLOY EMDS, Prep DSpace 4 Mobility, EDIC for Mobility and Logistics Data, and engagement with the CCAM Partnership SRG.
• Enhanced capacity of CCAM stakeholders (industry, academia, authorities, social partners) to share, reuse and monetise data, reducing costs and accelerating CCAM solution development.
• International collaboration outputs with Japan, the US or other strategic partners, fostering global interoperability in CCAM data sharing.
• Detailed mapping of information and reference data needs for CCAM KPIs collected by Member States and Associated Countries.
• A fully functional Federated CCAM Data Exchange Platform that interfaces existing dataspaces, enhances data availability, accessibility and interoperability, and supports large-scale demonstrations and deployment of CCAM services (digital twins, scenario representation, safety assurance, ADS monitoring, driver behaviour analysis, AI model training, KPI collection).
• A robust governance structure with a sustainability plan and viable business model ensuring the long-term operation of the Platform.
• Defined methods, algorithms and processes to refine, enrich and repurpose data for targeted CCAM use cases.
• Identification of GDPR impacts on AI learning workflows and proposed mitigation measures.
• Strong alignment and interoperability with the common European mobility data space and other EU data spaces through adoption of the Data Spaces Support Centre blueprint, Simpl middleware and FAIR principles.
• Demonstrable cooperation with FAME, SUNRISE, SYNERGIES, DEPLOY EMDS, Prep DSpace 4 Mobility, EDIC for Mobility and Logistics Data, and engagement with the CCAM Partnership SRG.
• Enhanced capacity of CCAM stakeholders (industry, academia, authorities, social partners) to share, reuse and monetise data, reducing costs and accelerating CCAM solution development.
• International collaboration outputs with Japan, the US or other strategic partners, fostering global interoperability in CCAM data sharing.
Funded areas
Scope Requirements
• Address data sharing challenges specific to Connected, Cooperative and Automated Mobility (CCAM): mobility and R&I data.
• Propose methods to evolve and federate existing CCAM dataspaces, bridging gaps and interfacing with the common European mobility data space.
• Identify harmonisation and standardisation needs: CCAM taxonomies, ontologies, interfaces, data formats, metadata and monetisation models; implement and extend CCAM taxonomies in the FAME Test Data Space.
• Map information and reference datasets for national/EU-level KPIs (socio-economic statistics, accidents, infrastructure, vehicles) collected by Member States and Associated Countries.
• Establish a Federated CCAM Data Exchange Platform: technical architecture, governance model, sustainability plan and business model; support sharing for industry, public authorities, academia and social partners.
• Develop tools, algorithms and processes to refine and repurpose data for specific use cases (digital twins, safety assessment, ADS monitoring, AI-training, scenario generation).
• Address GDPR implications on AI learning workflows and propose mitigation strategies.
• Ensure close alignment with the common European mobility data space, the Data Spaces Support Centre blueprint, Simpl middleware and relevant EU projects (FAME, DEPLOY EMDS, Prep DSpace 4 Mobility).
• Build on FAME project outcomes and engage with the CCAM Partnership’s States Representative Group and future EDIC for Mobility and Logistics Data.
• Adopt FAIR data principles and ensure interoperability across data ecosystems.
• Encourage international cooperation, notably with Japan, the United States and other strategic partners.
• Propose methods to evolve and federate existing CCAM dataspaces, bridging gaps and interfacing with the common European mobility data space.
• Identify harmonisation and standardisation needs: CCAM taxonomies, ontologies, interfaces, data formats, metadata and monetisation models; implement and extend CCAM taxonomies in the FAME Test Data Space.
• Map information and reference datasets for national/EU-level KPIs (socio-economic statistics, accidents, infrastructure, vehicles) collected by Member States and Associated Countries.
• Establish a Federated CCAM Data Exchange Platform: technical architecture, governance model, sustainability plan and business model; support sharing for industry, public authorities, academia and social partners.
• Develop tools, algorithms and processes to refine and repurpose data for specific use cases (digital twins, safety assessment, ADS monitoring, AI-training, scenario generation).
• Address GDPR implications on AI learning workflows and propose mitigation strategies.
• Ensure close alignment with the common European mobility data space, the Data Spaces Support Centre blueprint, Simpl middleware and relevant EU projects (FAME, DEPLOY EMDS, Prep DSpace 4 Mobility).
• Build on FAME project outcomes and engage with the CCAM Partnership’s States Representative Group and future EDIC for Mobility and Logistics Data.
• Adopt FAIR data principles and ensure interoperability across data ecosystems.
• Encourage international cooperation, notably with Japan, the United States and other strategic partners.
Additional Conditions for Applicants
Special Conditions
• Co-programmed under the European Partnership on CCAM: projects must report KPIs to the CCAM Partnership and apply the EU-CEM for CCAM.
• Lump-sum grant (HORIZON-AG-LS), single-stage evaluation; deadline 20 January 2026, 17:00 Brussels time; planned opening 16 September 2025.
• Indicative budget: EUR 24 000 000; around 3 grants envisaged.
• Mandatory alignment with the common European mobility data space, Data Spaces Support Centre blueprint and Simpl middleware; build on FAME, SUNRISE, SYNERGIES and DEPLOY EMDS outcomes; liaison with Prep DSpace 4 Mobility, future DIGITAL-2024-CLOUD-AI-06-MOBSPACE and EDIC initiatives.
• Projects must implement FAIR data principles, ensure GDPR compliance, and establish robust governance, contractual and access-rights frameworks.
• International cooperation encouraged, especially with Japan, the US and other strategic partners.
• Lump-sum grant (HORIZON-AG-LS), single-stage evaluation; deadline 20 January 2026, 17:00 Brussels time; planned opening 16 September 2025.
• Indicative budget: EUR 24 000 000; around 3 grants envisaged.
• Mandatory alignment with the common European mobility data space, Data Spaces Support Centre blueprint and Simpl middleware; build on FAME, SUNRISE, SYNERGIES and DEPLOY EMDS outcomes; liaison with Prep DSpace 4 Mobility, future DIGITAL-2024-CLOUD-AI-06-MOBSPACE and EDIC initiatives.
• Projects must implement FAIR data principles, ensure GDPR compliance, and establish robust governance, contractual and access-rights frameworks.
• International cooperation encouraged, especially with Japan, the US and other strategic partners.
Important dates
Open from: 16/09/2025
Deadline:20/01/2026
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