Recent events have demonstrated the need for readiness for medical supply and equipment rapid manufacturing repurposing. Eur3ka will deliver a trusted and unique capability to plug and collectively respond to a sudden demand increased in a coordinated and effective manner at unprecedented scale. Eur3ka mission is to bring together most recent R&I results in (1) Industry 4.0 standards, open automation modular manufacturing production line enablers; (2) industrial international common data space enablers and digital infrastructures; (3) global on-demand and manufacturing as a service platforms; (4) connected and smarter supply networks, and global medical supplies and equipment repositories; (5) the vibrant European and Global network of manufacturing DIH network innovation services and open experimental facilities. The main ambition of Eur3ka is to enable and facilitate global and fair access to (1) a Plug & Respond (P&R) repurposing resource coordination framework for pandemic crisis response, (2) a common open standardized modular manufacturing reference architecture and solutions, and (3) top digitally sovereign cross-sectorial manufacturing networks and capacities that should allow to connect global manufacturing and supply chain capabilities and medical knowledge on-demand and as-a-Service across the globe in an IP-responsive manner to ensure rapid manufacturing repurposing for an increased and sudden demand of medical supplies and equipment. Eur3ka builds and extends the existing Global Network of Advanced Manufacturing Hubs (AMHUBs) to leverage a comprehensive COVID response based on solid socio-tecno-economic pillars that bring together advanced manufacturing and digital enablers that will raise robustness, redundancy, resourcefulness, response, and recovery against current and future pandemics. Eur3ka vision builds on and accelerate current digital transformation industry 4.0 efforts, as well as flexible regulations and tailored workforce re-/up- skilling

Agriculture is being managed more tightly than ever before and is generating more data than ever before, but the potential of a data economy in agriculture remains unexplored. The reasons for this are varied, and include technical interoperability, business relationships between stakeholders, and social acceptability issues around data ownership and market transparency. Individual stakeholders make use of the data they generate at their own particular stage in the agri-food supply chain. However, the sharing of this data with others along the chain and its collective analysis needs more development and demonstration if more efficiencies are to be introduced and further value added to the agri-data economy. While some sharing is taking place on an ad-hoc basis, each new set of potential data sharers must start from scratch and work through the same issues common to all such arrangements. Equally, the lack of data sharing precedents in agriculture inhibits data owners from taking a more exploratory view of the world. Several dimensions must be considered in policy-making if a fully functioning data economy in the agriculture domain is to emerge. Such a multi-disciplinary approach is at the core of the DIVINE consortium, which encompasses technical (agriculture and ICT), markets, and social sciences expertise. It will build an agri-data ecosystem that incorporates existing common agri data spaces while deploying industry-led pilots built on data sharing arrangements, to demonstrate the cost-benefit and added value in sharing agri data. DIVINE will assess its ecosystem at the level of policy impacts, the uptake of digital technologies, and economic and environmental performance. DIVINE will promote its ecosystem and its assessments to technology providers, policy-makers, farm representatives, and various other agri-data stakeholders. It will take the first real concrete steps towards mature data markets in European and global agriculture.

PLIADES advances the SoA dataspaces reference architectures, towards a step change on the use of data as key enabler of technological advances in AI and Robotics. To this end, PLIADES researches into novel, AI-enabled tools to advance full data life cycles integration, both within and between data spaces. Sustainable data creation methods through data compression, filtering and normalization will be developed, to allow efficient and greener storage in a data-oriented future. Data privacy and sovereignty will be further ensured, through standards and decentralized protocols to protect data-producing organizations and citizens. Alongside, data sharing will be revolutionized through novel AI-based brokers and connectors using extended metadata, shaped through the project’s best practices and domain expert’s knowledge. On top of these, active data discovery services through cross domain AI connectors will allow creating linked data spaces, enabling interoperability between previously disconnected entities, while data quality assessment services will facilitate real time data evaluation. Extended synergies with EU initiatives will be established in order to contribute models, strategies and technologies for a Common European Data Space. Our outcomes will be evaluated in six use cases focusing on direct advancements in key AI and Robotics technologies for everyday use, oriented around multiple data spaces; mobility, healthcare, industrial, energy and green deal. Our use cases provide a challenging validation suite involving vast heterogeneous data creation, management and sharing while addressing full data lifecycles in multiple major domains. Through the developed ecosystem, CCAM and ADAS/AD car technologies will be enhanced, HRI for robot operators and healthcare patients will be reshaped, while further advanced, integrated data spaces will be deployed in the healthcare, manufacturing and green deal sectors aiming to reduce carbon footprints and shape a greener future.

The ongoing energy system digitization is making available an enormous amount of data, paving the way for data sharing-enabled cross-value chain services, which may contribute to system-level increased efficiency and hence facilitate the energy transition. However data sharing in the energy sector is lagging behind, mainly due to lack of trust, privacy breaches risk and business models immaturity. In that respect ENERSHARE will a) deliver a Reference Architecture for a European Energy Data Space, which hybridizes SGAM with IDSA and GAIA-X architectures, by bringing data value chain perspective into the energy one b) evolve interoperability, trust, data value and governance building blocks to TRL 6-7 IDSA-compliant ones, adapt them to energy sector, and deploy: 1) across-energy and cross-sector data enhancement technology enablers and standardizable interfaces and open APIs by leveraging on open Standards (e.g. ETSI Context Broker) and ontologies (e.g. SAREF 2) trust-related connectors, to ensure privacy, confidentiality, cybersecurity-preserving trust, sovereignty and full control of data 3) Blockchain/Smart contract-enriched marketplace for data versus energy assets/services coordination, sharing, exchange, and beyond financial compensation 4) cross-value chain value-added services and Digital Twins, by leveraging on privacy-preserving federated learning c) integrate and deploy them within a Reference Implementation of a European Energy Data Space, which will be demonstrated along 7 pilots and 11 intra-electricity, intra-energy and beyond energy use cases d) co-design SSH-based consumer-centric business models for energy data sharing enabling data beyond-financial value creation and spreading along value chain d) prepare the ground for the European Energy Data Space setup, through alignment with EU-level relevant initiatives (GAIA-X, IDSA, BDVA, ETIP SNET, BRIDGE), contributing to Data Space standardization and boosting a level playing field for data sharing.

FAME is a joint effort of world-class experts in data management, data technologies, the data economy, and digital finance to develop, deploy and launch to the global market a unique, trustworthy, energy-efficient, and secure federated data marketplace for Embedded Finance (EmFi). The FAME marketplace will alleviate the proclaimed limitations of centralized cloud marketplaces towards demonstrating the full potential of the data economy. In this direction, the project will enhance a state of the art data marketplace infrastructure (i.e., H2020 i3-Market marketplace) with novel functionalities in three complementary directions namely: • Secure, interoperable, and regulatory compliant data exchange across multiple federated cloud-based data providers in-line with emerging European initiatives like GAIA-X. • Decentralized, programmable, data assets trading and pricing leveraging blockchain tokenization techniques (including support for accruing data assets value in NFTs). • Integration of trusted and Energy Efficient (EE) analytics based on novel technologies such as Quantitative Explainable AI, Situation Aware Explainability (SAX), incremental EE analytics, and edge analytics. FAME will become operational in a federated cloud environment with multiple providers of EmFi data assets, including datasets, AI/ML models, and more. It will become interconnected with more than 12 data marketplaces that are operated by the project partners, as well as with other data infrastructures that will support the implementation of 7 pilots. Through this process, the catalog of the FAME marketplace will be populated with a critical mass of 1000+ data assets. Furthermore, FAME will establish a Learning Center (LC) for tech and non-tech users, as this is a key prerequisite for unlocking the potential of the data economy. FAME will build a vibrant community of EmFi stakeholders around the FAME platform, which will serve as a catalyst for the sustainability of the project’s results.