Project description
New tech tools for the data marketplace
Data is all around us, in every sector and industry. The management of data, data technologies, the data economy and digital finance is more important than ever. The EU-funded FAME project will develop a secure federated data marketplace for embedded finance (EmFi). The aim is to demonstrate the full potential of the data economy. FAME will develop a federated cloud environment with multiple providers of EmFi data assets, including datasets, AI/ML models, and more. By connecting with more than a dozen data marketplaces, the project will roll out seven pilots. To unlock the potential of the data economy, FAME will also establish a learning centre for tech and non-tech users, as this is a key prerequisite for unlocking the potential of the data economy.
Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencescomputer securitycryptography
- natural scienceschemical sciencescatalysis
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Programme(s)
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HORIZON-IA - HORIZON Innovation ActionsCoordinator
20139 Milano
Italy
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Participants (33)
1831 Diegem
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28037 MADRID
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49527 Petach Tikva
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00144 Roma
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4470-177 Maia
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
4470 177 MAIA
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118 54 ATHENS
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14129 Berlin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
151 24 MAROUSSI ATHINA
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28223 Pozuelo de Alarcon
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3071 Limassol
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
041386 BUCURESTI
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
15125 Amarousio
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
8500-794 Portimao
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28020 Madrid
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1101 Lefkosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
34470 Istanbul
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
11634 ATHINA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
H91 Galway
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0314 Oslo
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2829-516 Caparica
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
185 33 PIRAEUS
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1000 Ljubljana
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85235 Bratislava
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4604 Kristiansand
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D02R126 Dublin
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50825 Koln
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44227 Dortmund
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46001 VALENCIA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1075 AT Amsterdam
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
43126 PARMA
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00159 ROMA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10243 BERLIN
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