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This funding call focuses on creating a federated digital infrastructure for advanced materials research and innovation (R&I) in Europe, termed the "Materials Commons." The initiative aims to establish a sustainable digital hub to manage, store, and share data, tools, and resources for advanced materials R&D. By leveraging cutting-edge technologies such as artificial intelligence (AI) and machine learning (ML), the project will enable academic and industrial researchers to design and develop innovative materials more efficiently.
The scope of the project includes the integration of national initiatives and existing infrastructures, fostering collaboration across academia and industry, and ensuring data interoperability using FAIR principles. The Materials Commons will act as a central platform to accelerate innovation, enhance data exchange, and provide access to state-of-the-art tools and methodologies.
The project will be executed in three phases: framework establishment, initial infrastructure build-up, and demonstration. These phases will address requirements development, governance, data storage, tool integration, and validation through use cases from academia, SMEs, and large industries.
A key element is creating trust in data sharing while advancing standards, taxonomies, and ontologies for interoperability. The project also emphasizes the long-term sustainability of the infrastructure through viable business models and legal frameworks.
Applicants are encouraged to collaborate with existing EU and national initiatives, involve stakeholders across sectors, and ensure scalability and inclusivity in participation. Gender integration is not mandatory for this call.
Opening: 22 May 2025
Deadline(s): 23 Sep 2025
Expected Outcome
- A sustainable federated digital hub for advanced materials R&I.
- Access to interoperable data and computational tools for academia and industry.
- Improved workflows for material design using AI and ML technologies.
Scope
The call seeks to:
- Establish a federated EU-level digital infrastructure for advanced materials.
- Promote interoperability of data and tools for research workflows.
- Enhance R&I through AI and ML, fostering academic and industrial collaboration.
- Integrate existing national initiatives, resources, and tools.