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EUROPEAN CENTRE FOR CERTIFICATION AND PRIVACY

Country: Luxembourg

EUROPEAN CENTRE FOR CERTIFICATION AND PRIVACY

2 Projects, page 1 of 1
  • Funder: European Commission Project Code: 101057048
    Overall Budget: 8,190,470 EURFunder Contribution: 8,190,470 EUR

    The main objective of this project is to establish a Data Space for rare cancers (RC) that will make possible the re-use of existing multisource health data (cancer registry data, national registries, data from biobanks etc.) across European healthcare systems leveraging emerging interoperability technologies and AI approaches. The realized "Rare Cancer Data Ecosystem" is expected to improve the quality and the organization of RC patients care, and to increase knowledge on rare cancers advancing health research, so that all patients have equal access to high quality specialist care. The project approach will be experienced in the framework of the European reference network for rare adult solid cancers (EURACAN).

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  • Funder: European Commission Project Code: 101061001
    Overall Budget: 4,364,200 EURFunder Contribution: 4,136,960 EUR

    AD4GD’s overall objective is to co-create and shape the European Green Deal Data Space as an open hub for FAIR data and standards-based services that support the key priorities of biodiversity, climate change, and pollution. The focus will be on interoperability concepts that bridge the semantic and technology gaps which currently prevent stakeholders and application domains from multi-disciplinary and multi-scale access to data, and which impede the exploitation of processing services, and processing platforms at different levels including Cloud, HPC and edge computing. This project will enable the combination and integration of data from remote sensing, established Virtual Research Environments and Research Infrastructures, Internet of Things (IoT), socio-economic data, INSPIRE and Citizen Science (CitSci) in an interoperable, scalable and reliable manner. This will facilitate integration by including semantic mappings to different standards and dominant models bridging domain- and data source-specific semantic concepts such as the Essential Variables framework (e.g. the GCOS Essential Climate Variables, the GEOBON Essential Biodiversity Variables), as well as applying machine learning and geospatial user feedback to ensure quality, reliability and trustworthiness of data and transforming spatial scales. The project will make data and services accessible to the EC Knowledge Centres, GEOSS portal, EOSC and other science services as applicable, ensuring the sustainability of the results, and will actively promote data accessibility for community stakeholders and citizen scientists. AD4GD will demonstrate and validate the approach in three pilots whose stakeholders include international organizations, scientists and researchers, citizens, decision makers (e.g. public authorities), and Earth observation (EO) solution developers. The pilots address selected Green Deal priority areas, including cross-domain components: Zero pollution, Biodiversity, and Climate Change.

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