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29 Projects, page 1 of 3

  • Canada
  • 2013-2022
  • 2019
  • OA Publications Mandate: Yes

10
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  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 824160
    Overall Budget: 4,206,390 EURFunder Contribution: 4,188,890 EUR
    Partners: IIT, UM, KTH, UCL, UNIGE, UM, VISION BUSINESSCONSULTANTS, Durham University, UW, QUALISYS...

    EnTimeMent aims at a radical change in scientific research and enabling technologies for human movement qualitative analysis, entrainment and prediction, based on a novel neuro-cognitive approach of the multiple, mutually interactive time scales characterizing human behaviour. Our approach will afford the development of computational models for the automated detection, measurement, and prediction of movement qualities from behavioural signals, based on multi-layer parallel processes at non-linearly stratified temporal dimensions, and will radically transform technology for human movement analysis. EnTimeMent new innovative scientifically-grounded and time-adaptive technologies operate at multiple time scales in a multi-layered approach: motion capture and movement analysis systems will be endowed with a completely novel functionality, achieving a novel generation of time-aware multisensory motion perception and prediction systems. The proposed model and technologies will be iteratively tested and refined, by designing and performing controlled and ecological experiments, ranging from action prediction in a controlled laboratory setting, to prediction in dyadic and small group interaction. EnTimeMent scenarios include health (healing and support of everyday life of persons with chronic pain and disability), performing arts (e.g. dance), sports, and entertainment group activities, with and without living architectures. EnTimeMent will create and support community-building and exploitation with concrete initiatives, including a community of users and stakeholders, innovation hubs and SME incubators, as premises for the consolidation beyond the end of the project in a broader range of market areas.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 829005
    Overall Budget: 3,180,710 EURFunder Contribution: 2,688,380 EUR
    Partners: AU, MDLAB, INCDMRR, CNR, APPLIED MATERIALS ITALIA SRL, UNIVERSITY OF TORONTO, FOUNDATION FOR RESEARCH AND TECHNOLOGYHELLAS, AGH UST

    The objectives of the interdisciplinary project IQubits are to (i) develop and demonstrate experimentally high-temperature (high-T) Si and SiGe electron/hole-spin qubits and qubit integrated circuits (ICs) in commercial 22nm Fully-Depleted Silicon-on-Insulator (FDSOI) CMOS foundry technology as the enabling fundamental building blocks of quantum computing technologies, (ii) verify the scalability of these qubits to 10nm dimensions through fabrication experiments and (iii) prove through atomistic simulations that, at 2nm dimensions, they are suitable for 300K operation. The proposed 22nm FDSOI qubit ICs consist of coupled quantum-dot electron and hole spin qubits, placed in the atomic-scale channel of multi-gate n- and p-MOSFETs, and of 60-240GHz spin control/readout circuits integrated on the same die in state-of-the-art FDSOI CMOS foundry technology. To assess the impact of future CMOS scaling, more aggressively scaled Si-channel SOI and nitride-channel qubit structures will also be designed and fabricated in two experimental processes with 10nm gate half pitch. The latter will be developed in this project. The plan is for the III-nitrides (III-N) qubits to be ultimately grown on a SOI wafer, to be compatible with CMOS. Because of their larger bandgap, III-N hold a better prospect than Si and SiGe for qubits with larger coupling energy and mode energy splitting, and 300K operation. As a radical breakthrough, the fabricated qubits will feature coupling energies on the order of 0.25-1 meV corresponding to control frequencies in the 60-240GHz range, suitable for operation at 3–12 degrees Kelvin, two orders of magnitude higher than today's qubits. The tuned mm-wave circuits allow for 10-20ps spin control pulses which help to filter out wideband thermal noise and largely enhance the ratio between the gating and the decoherence times. Thermal noise filtering and fast control of the spin may lead to even higher temperature operation for a given energy-level splitting.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 820989
    Overall Budget: 8,482,150 EURFunder Contribution: 8,191,660 EUR
    Partners: NORSK POLARINSTITUTT, PIK, ENS, UiB, GU, NOC, CLS, Stockholm University, Dalhousie University, SMHI...

    COMFORT will close knowledge gaps for key ocean tipping elements under anthropogenic physical and chemical climate forcing through an interdisciplinary research approach. It will provide added value to decision and policy makers in terms of science based safe marine operating spaces, refined climate mitigation targets, and feasible long-term mitigation pathways. We will determine the consequences of passing tipping points in physical tipping elements for the marine carbon, oxygen, and nutrient cycles, as well as tipping points in biogeochemical tipping elements. The respective impact on marine ecosystems will be determined. Projections of the Earth system and impact studies have so far been carried out sequentially in a chain from scenarios to projections to off-line impact studies. This sequential workflow has hampered a quick response of the impact community back to revised scenarios and projections for tackling climate mitigation. COMFORT breaks new ground by bringing together experts from Earth system science, oceanography, fisheries science and ecology in a single integrated project who will work in parallel with a consistent set of analysis tools, scenarios, and interoperable models. The strength of COMFORT lies in the system-focused interdisciplinary approach as opposed to existing studies at the level of individual subsystems. The approach will be pursued with a firm link to stakeholders. COMFORT results will contribute to all four expected impacts for this call.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825410
    Overall Budget: 15,041,500 EURFunder Contribution: 14,994,600 EUR
    Partners: Universitätsklinikum Erlangen, THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE, STICHTING RADBOUD UNIVERSITEIT, ITALIAN INSTITUTE FOR GENOMIC MEDICINE, Philipp University of Marburg, INT, HALIODX, UNITN, CHUM, INSERM...

    Beyond the role the intestinal metagenome plays in regulating multiple physBeyond its role in regulating multiple physiological functions that impact health, the intestinal metagenome is implicated in cancer initiation, progression and responses to therapies, even for extraintestinal neoplasia. Hence, there is an urgent need to fully identify and functionally characterize minimalist commensal ecosystems relevant to cancer, with reliable and robust methods, to validate cancer-associated gut microbiome fingerprints of high clinical relevance, and to develop diagnosis tools that will become part of the oncological arsenal for the optimization and personalization of therapy. Based on retro-and pro-spective studies, with large discovery and validation cohorts enrolling >9,000 cancer patients across 10 countries, ancillary to ongoing innovative clinical trials or FDA/EMA approvals across 4 frequent cancer types, ONCOBIOME will pursue the following aims: 1/ identify and validate core or cancer-specific Gut OncoMicrobiome Signatures (GOMS) associated with cancer occurrence, prognosis, response to, or progression on, therapy (polychemotherapy, immune checkpoint inhibitors, dendritic cell vaccines) or adverse effects, 2/ decipher the functional relevance of these cancer-associated gut commensal ecosystems in the regulation of host metabolism, immunity and oncogenesis, 3/ integrate these GOMS with other oncology hallmarks (clinics, genomics, immunomics, metabolomics) 4/ design optimal companion tests, based on those integrated signatures to predict cancer occurrence and progression. With high carat interdisciplinary experts, ONCOBIOME expects to validate cancer or therapy-specific Gut OncoMicrobiome Signatures (GOMS) across breast, colorectal, melanoma and lung cancers adjusting for covariates, to unravel the mode of action of these GOMS in innovative platforms, thus lending support to the design of cancer preventive campaigns using well characterized pre-and pro-biotics.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825746
    Overall Budget: 8,770,020 EURFunder Contribution: 7,760,020 EUR
    Partners: DTU, UIS, University Hospital Heidelberg, UBC, EMBL, UMC, UCD, AMU, McMaster University, Institut Pasteur de Dakar...

    ReCoDID builds on existing infrastructures and partnerships to develop a sustainable model for the storage, curation, and analyses of the complex data sets collected by infectious disease (ID)-related cohorts. While ID cohorts collect both clinical-epidemiological (CE) and terabytes of OMICS data, storage and analysis of CE and high dimensional laboratory (HDL) data remains separate and developing the infrastructure for housing and analysing HDL data is not feasible for individual studies. In this project, we develop innovative approaches to the synthesis and analysis of CE&HDL data, and modify governance models for cloud-based repositories elaborated by and for scientists in high-income countries to meet the specific challenges of synthesizing CE&HDL data and sharing data across international cohorts and with the Open Science community. We develop data architecture and governance that link biobanks to data repositories to facilitate equitable use, collaborative, cross-domain analyses, and replicability. The team leverages partnerships with multicentre ID cohorts in the global South, and connects EU investments in OMICS infrastructures with Canadian expertise on pipeline and workflow development, biostatistical methods, and ethical and governance issues related to the establishment of repositories for CE&HDL data in resource-limited settings. Drawing from best practice and governance elaborated for similar initiatives, the repository will employ a federated model where a tiered permission system and cohort-specific hubs facilitate cohorts’ analysis of their own data, cross-cohort analyses, and connections with the open science community within a clearly elaborated legal, ethical, and equitable framework. The cloud-based platform will provide analytic tools and computational power to facilitate cross-domain, collaborative analyses that inform personalized medicine approaches to diagnostic, treatment, and vaccine development in ID-focused international cohorts.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 824989
    Overall Budget: 6,717,950 EURFunder Contribution: 5,999,700 EUR
    Partners: BBMRI-ERIC, RI MUHC, THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE, ISPUP, University of Liverpool, University of Oulu, STICHTING VUMC, EPIGENY, UCPH, INESC TEC...

    Rapid progress in information and biotechnologies offers the promise of better, personalized health strategies using rich phenotypic, environmental and molecular (omics) profiles of every individual. To capitalize on this great promise, key challenge is to relate these profiles to health and disease while accounting for high diversity in individuals, populations and environments. Both Europe and Canada have long-term investments in population-based prospective cohort studies providing essential longitudinal data. These data must be analysed in unison to reach statistical power, however, presently cohort data repositories are scattered, hard to search and integrate, and data protection and governance rules discourage central pooling. EUCAN-Connect will enable large-scale integrated cohort data analysis for personalized and preventive healthcare across EU and Canada. This will be based on an open, scalable data platform for cohorts, researchers and networks, incorporating FAIR principles (Findable, Accessible, Interoperable, Reusable) for optimal reuse of existing data, and building on maturing federated technologies, with sensitive data kept locally and only results being shared and integrated, in line with key ELSI and governance guidelines. Widespread uptake will be promoted via beyond state-of-the-art research in close collaboration with leading cohort networks, focused on early-life origins of cardio-metabolic, developmental, musculoskeletal and respiratory health and disease impacting human life course. To address challenges of sustainability and curation, we will deliver innovative solutions for distributed, low-cost data harvesting and preservation, community curation/harmonization, privacy protection, open source bioinformatics toolbox development, and international governance. EUCAN-Connect platform and collaborations will be coordinated through BBMRI-ERIC (EU) and Maelstrom Research (Canada) to sustain long-term benefits to science and citizens worldwide.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 824077
    Overall Budget: 9,999,360 EURFunder Contribution: 9,999,360 EUR
    Partners: VLIZ, VOYAGERIP INTERNATIONAL SERVICES LIMITED, NIWA, TALLINN UNIVERSITY OF TECHNOLOGY, Royal Belgian Institute of Natural Sciences, CNR, HCMR, HAMPIDJAN, BIOS, IO PAN...

    EurofleetsPlus will facilitate open access to an integrated and advanced research vessel fleet, designed to meet the evolving and challenging needs of the user community. European and international researchers from academia and industry will be able to apply for several access programmes, through a single-entry system. EurofleetsPlus will prioritise support for research on sustainable, clean and healthy oceans, linking with existing ocean observation infrastructures, and support innovation through working closely with industry. The project will enable access to a unique fleet of 27 state-of-the-art research vessels from European and international partners. Through competitive Calls, researchers will be able to access the entire North Atlantic, Mediterranean, Black Sea, North Sea, Baltic Sea, Pacific Southern Ocean and Ross Sea. In addition to ship time, researchers will also have access to new Autonomous Underwater Vehicles and Remotely Operated Vehicles. A unique portable telepresence system will enable remote access by researchers and diverse end users including the public; a first for Europe. In addition to comprehensive transnational activities, the project will undertake joint research activities to meet the evolving challenges of marine research, in particular, deep ocean research and exploration, data management, and virtual access. Multiple networking activities will ensure robust Call processes; wide stakeholder engagement; development of a strategic roadmap and long-term sustainability plan; diverse training and education activities; management of innovation; and widespread dissemination and communication. EurofleetsPlus will facilitate access to unique marine infrastructure, enabling excellent research, increasing ocean literacy, and providing a clear road map for the continued integration and advancement of the European research fleet.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 815122
    Overall Budget: 6,098,410 EURFunder Contribution: 4,499,670 EUR
    Partners: TsIAM, University Federico II of Naples, ONERA, KE-WORKS, POLITO, ISAE, RWTH, TU Delft, Bombardier (Canada), FSUE...

    A major challenge in the transport sector is to make economic growth compatible with sustainability and environmental constraints, while remaining competitive and innovative. The development of aeronautical products is a complex multidisciplinary process with requirements and constraints on the air transport system as a whole, the aircraft, and all the individual components to be produced. A major challenge impeding an efficient and cost-effective design processes is the integration of the various levels of the aeronautical supply chain. Therefore, the aeronautical industry needs to connect all the people, skills and technologies involved in its collaborative, multi-national and cross organizational processes, by means of a digital representation of production systems, supply chains, and seamless operations across diverse disciplines, during the entire life-cycle of the product. The high level objective of AGILE 4.0 is to bring significant reductions in aircraft development costs and time-to-market through the implementation of an integrated cyber-physical aeronautical supply chain, thereby increasing the competitiveness of the European aircraft industry, from integrators and high-tiers suppliers to SMEs, leading to innovative and more sustainable aircraft products. AGILE 4.0 targets the digital transformation of main main pillars of the aeronautical supply-chain: design, production and certification and manufacturing.The composition of the AGILE 4.0 consortium and capabilities available enable to address realistic development scenarios integrating multiple stakeholders and covering all the aspects of the development of complex aeronautical systems. AGILE 4.0 will provide the aircraft industry with a way to model, assess, and optimize complex systems addressing the entire life cycle. The technologies developed will enable stake-holders and actors of the aeronautical supply chain to perform trade-off which have never been possible to model before.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 847441
    Overall Budget: 5,929,650 EURFunder Contribution: 3,186,500 EUR
    Partners: ENEA, UniPi, CHINA NUCLEAR POWER TECHNOLOGY RESEARCH INSTITUTE Co. Ltd., Jacobs Clean Energy Limited, VDU, JRC, CEA, PSI, CIEMAT, LGI...

    In the current state of maturity of severe accident codes in terms of phenomena addressed and extensive validation conducted, the time has come to foster BEPU,Best Estimate Plus Uncertainties, application in the severe accident (SA) domain, and accident management (AM). The advantages with respect to deterministic analysis are known: avoid adopting conservative assumptions in the model and allow identifying safety margins, quantify likelihood of reaching specific values and, through the distribution variance provide insights into dominating uncertain parameters.The overall objective of the Management and Uncertainties of Severe Accident (MUSA) project is to assess the capability of SA codes when modelling reactor and SFP (Spent Fuel Pool) accident scenarios of Gen II and III. To do so UQ (Uncertainty Quantification) methods are to be used, with emphasis on the effect of already-set and innovative accident management measures on accident unfolding, particularly those related to ST (Source Term) mitigation. Therefore, ST related Figures Of Merit (FOM) are to be used in the UQ application. The MUSA project proposes an innovative research agenda in order to move forward the predictive capability of SA analysis codes by combining them with the best available/improved UQ tools and embedding accident management as an intrinsic aspect of SA analyses.MUSA develops through key activities which also describe the main outcomes foreseen from the project: identification and quantification of uncertainty sources in SA analyses; review and adaptation of UQ methods; and testing such methods against reactor and SFP accident analyses, including AM. Given the focus of FOM on source term, the project will identify variables governing ST uncertainties that would be worth investigating further. All the ingredients necessary to conduct the project are already available: analytical tools, experimental data, postulated reactor and SFP scenarios and, technical and scientific competences.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825775
    Overall Budget: 6,641,460 EURFunder Contribution: 5,998,460 EUR
    Partners: CLINICAGENO, EMBL, MU, INSERM, Helmholtz Zentrum München, UOXF, SWISS BIOBANKING PLATFORM, FUNDACIO CENTRE DE REGULACIO GENOMICA, McGill University, HES-SO...

    Thousands of human genomes and other biomolecular datasets are now being generated in health, rather than research contexts. Centralised storage and analysis of these is no longer technically feasible for data harmonisation, curation, sharing or analysis and ethical, legal, social reasons. CINECA’s vision is a federated cloud enabled infrastructure making population scale genomic and biomolecular data accessible across international borders, accelerating research, and improving the health of individuals across continents. CINECA will leverage international investment in human cohort studies from Europe, Canada, and Africa to deliver a paradigm shift of federated research and clinical applications. The CINECA consortium will create one of the largest cross-continental implementations of human genetic and phenotypic data federation and interoperability with a focus on common (complex) disease, one of the world’s most significant health burdens. The partners represent a unique combination of scientific excellence with experience of eleven diverse cohorts and scientific projects such as the European Genome-phenome Archive, CanDIG, and H3Africa. CINECA has assembled a virtual cohort of 1.4M individuals from population, longitudinal and disease studies. Federated analyses will deliver new scientific knowledge, harmonisation strategies and the necessary ELSI framework supporting data exchange across legal jurisdictions enabling federated analyses in the cloud. CINECA will provide a template to achieve virtual longitudinal and disease specific cohorts of millions of samples, to advance benefits to patients. CINECA will leverage partner membership of standards and infrastructures like the Global Alliance for Global Health, BBMRI, ELIXIR, and EOSC driving the state of the art in standards development, technical implementation and FAIR data.

Advanced search in
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The following results are related to Canada. Are you interested to view more results? Visit OpenAIRE - Explore.
29 Projects, page 1 of 3
  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 824160
    Overall Budget: 4,206,390 EURFunder Contribution: 4,188,890 EUR
    Partners: IIT, UM, KTH, UCL, UNIGE, UM, VISION BUSINESSCONSULTANTS, Durham University, UW, QUALISYS...

    EnTimeMent aims at a radical change in scientific research and enabling technologies for human movement qualitative analysis, entrainment and prediction, based on a novel neuro-cognitive approach of the multiple, mutually interactive time scales characterizing human behaviour. Our approach will afford the development of computational models for the automated detection, measurement, and prediction of movement qualities from behavioural signals, based on multi-layer parallel processes at non-linearly stratified temporal dimensions, and will radically transform technology for human movement analysis. EnTimeMent new innovative scientifically-grounded and time-adaptive technologies operate at multiple time scales in a multi-layered approach: motion capture and movement analysis systems will be endowed with a completely novel functionality, achieving a novel generation of time-aware multisensory motion perception and prediction systems. The proposed model and technologies will be iteratively tested and refined, by designing and performing controlled and ecological experiments, ranging from action prediction in a controlled laboratory setting, to prediction in dyadic and small group interaction. EnTimeMent scenarios include health (healing and support of everyday life of persons with chronic pain and disability), performing arts (e.g. dance), sports, and entertainment group activities, with and without living architectures. EnTimeMent will create and support community-building and exploitation with concrete initiatives, including a community of users and stakeholders, innovation hubs and SME incubators, as premises for the consolidation beyond the end of the project in a broader range of market areas.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 829005
    Overall Budget: 3,180,710 EURFunder Contribution: 2,688,380 EUR
    Partners: AU, MDLAB, INCDMRR, CNR, APPLIED MATERIALS ITALIA SRL, UNIVERSITY OF TORONTO, FOUNDATION FOR RESEARCH AND TECHNOLOGYHELLAS, AGH UST

    The objectives of the interdisciplinary project IQubits are to (i) develop and demonstrate experimentally high-temperature (high-T) Si and SiGe electron/hole-spin qubits and qubit integrated circuits (ICs) in commercial 22nm Fully-Depleted Silicon-on-Insulator (FDSOI) CMOS foundry technology as the enabling fundamental building blocks of quantum computing technologies, (ii) verify the scalability of these qubits to 10nm dimensions through fabrication experiments and (iii) prove through atomistic simulations that, at 2nm dimensions, they are suitable for 300K operation. The proposed 22nm FDSOI qubit ICs consist of coupled quantum-dot electron and hole spin qubits, placed in the atomic-scale channel of multi-gate n- and p-MOSFETs, and of 60-240GHz spin control/readout circuits integrated on the same die in state-of-the-art FDSOI CMOS foundry technology. To assess the impact of future CMOS scaling, more aggressively scaled Si-channel SOI and nitride-channel qubit structures will also be designed and fabricated in two experimental processes with 10nm gate half pitch. The latter will be developed in this project. The plan is for the III-nitrides (III-N) qubits to be ultimately grown on a SOI wafer, to be compatible with CMOS. Because of their larger bandgap, III-N hold a better prospect than Si and SiGe for qubits with larger coupling energy and mode energy splitting, and 300K operation. As a radical breakthrough, the fabricated qubits will feature coupling energies on the order of 0.25-1 meV corresponding to control frequencies in the 60-240GHz range, suitable for operation at 3–12 degrees Kelvin, two orders of magnitude higher than today's qubits. The tuned mm-wave circuits allow for 10-20ps spin control pulses which help to filter out wideband thermal noise and largely enhance the ratio between the gating and the decoherence times. Thermal noise filtering and fast control of the spin may lead to even higher temperature operation for a given energy-level splitting.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 820989
    Overall Budget: 8,482,150 EURFunder Contribution: 8,191,660 EUR
    Partners: NORSK POLARINSTITUTT, PIK, ENS, UiB, GU, NOC, CLS, Stockholm University, Dalhousie University, SMHI...

    COMFORT will close knowledge gaps for key ocean tipping elements under anthropogenic physical and chemical climate forcing through an interdisciplinary research approach. It will provide added value to decision and policy makers in terms of science based safe marine operating spaces, refined climate mitigation targets, and feasible long-term mitigation pathways. We will determine the consequences of passing tipping points in physical tipping elements for the marine carbon, oxygen, and nutrient cycles, as well as tipping points in biogeochemical tipping elements. The respective impact on marine ecosystems will be determined. Projections of the Earth system and impact studies have so far been carried out sequentially in a chain from scenarios to projections to off-line impact studies. This sequential workflow has hampered a quick response of the impact community back to revised scenarios and projections for tackling climate mitigation. COMFORT breaks new ground by bringing together experts from Earth system science, oceanography, fisheries science and ecology in a single integrated project who will work in parallel with a consistent set of analysis tools, scenarios, and interoperable models. The strength of COMFORT lies in the system-focused interdisciplinary approach as opposed to existing studies at the level of individual subsystems. The approach will be pursued with a firm link to stakeholders. COMFORT results will contribute to all four expected impacts for this call.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825410
    Overall Budget: 15,041,500 EURFunder Contribution: 14,994,600 EUR
    Partners: Universitätsklinikum Erlangen, THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE, STICHTING RADBOUD UNIVERSITEIT, ITALIAN INSTITUTE FOR GENOMIC MEDICINE, Philipp University of Marburg, INT, HALIODX, UNITN, CHUM, INSERM...

    Beyond the role the intestinal metagenome plays in regulating multiple physBeyond its role in regulating multiple physiological functions that impact health, the intestinal metagenome is implicated in cancer initiation, progression and responses to therapies, even for extraintestinal neoplasia. Hence, there is an urgent need to fully identify and functionally characterize minimalist commensal ecosystems relevant to cancer, with reliable and robust methods, to validate cancer-associated gut microbiome fingerprints of high clinical relevance, and to develop diagnosis tools that will become part of the oncological arsenal for the optimization and personalization of therapy. Based on retro-and pro-spective studies, with large discovery and validation cohorts enrolling >9,000 cancer patients across 10 countries, ancillary to ongoing innovative clinical trials or FDA/EMA approvals across 4 frequent cancer types, ONCOBIOME will pursue the following aims: 1/ identify and validate core or cancer-specific Gut OncoMicrobiome Signatures (GOMS) associated with cancer occurrence, prognosis, response to, or progression on, therapy (polychemotherapy, immune checkpoint inhibitors, dendritic cell vaccines) or adverse effects, 2/ decipher the functional relevance of these cancer-associated gut commensal ecosystems in the regulation of host metabolism, immunity and oncogenesis, 3/ integrate these GOMS with other oncology hallmarks (clinics, genomics, immunomics, metabolomics) 4/ design optimal companion tests, based on those integrated signatures to predict cancer occurrence and progression. With high carat interdisciplinary experts, ONCOBIOME expects to validate cancer or therapy-specific Gut OncoMicrobiome Signatures (GOMS) across breast, colorectal, melanoma and lung cancers adjusting for covariates, to unravel the mode of action of these GOMS in innovative platforms, thus lending support to the design of cancer preventive campaigns using well characterized pre-and pro-biotics.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825746
    Overall Budget: 8,770,020 EURFunder Contribution: 7,760,020 EUR
    Partners: DTU, UIS, University Hospital Heidelberg, UBC, EMBL, UMC, UCD, AMU, McMaster University, Institut Pasteur de Dakar...

    ReCoDID builds on existing infrastructures and partnerships to develop a sustainable model for the storage, curation, and analyses of the complex data sets collected by infectious disease (ID)-related cohorts. While ID cohorts collect both clinical-epidemiological (CE) and terabytes of OMICS data, storage and analysis of CE and high dimensional laboratory (HDL) data remains separate and developing the infrastructure for housing and analysing HDL data is not feasible for individual studies. In this project, we develop innovative approaches to the synthesis and analysis of CE&HDL data, and modify governance models for cloud-based repositories elaborated by and for scientists in high-income countries to meet the specific challenges of synthesizing CE&HDL data and sharing data across international cohorts and with the Open Science community. We develop data architecture and governance that link biobanks to data repositories to facilitate equitable use, collaborative, cross-domain analyses, and replicability. The team leverages partnerships with multicentre ID cohorts in the global South, and connects EU investments in OMICS infrastructures with Canadian expertise on pipeline and workflow development, biostatistical methods, and ethical and governance issues related to the establishment of repositories for CE&HDL data in resource-limited settings. Drawing from best practice and governance elaborated for similar initiatives, the repository will employ a federated model where a tiered permission system and cohort-specific hubs facilitate cohorts’ analysis of their own data, cross-cohort analyses, and connections with the open science community within a clearly elaborated legal, ethical, and equitable framework. The cloud-based platform will provide analytic tools and computational power to facilitate cross-domain, collaborative analyses that inform personalized medicine approaches to diagnostic, treatment, and vaccine development in ID-focused international cohorts.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 824989
    Overall Budget: 6,717,950 EURFunder Contribution: 5,999,700 EUR
    Partners: BBMRI-ERIC, RI MUHC, THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE, ISPUP, University of Liverpool, University of Oulu, STICHTING VUMC, EPIGENY, UCPH, INESC TEC...

    Rapid progress in information and biotechnologies offers the promise of better, personalized health strategies using rich phenotypic, environmental and molecular (omics) profiles of every individual. To capitalize on this great promise, key challenge is to relate these profiles to health and disease while accounting for high diversity in individuals, populations and environments. Both Europe and Canada have long-term investments in population-based prospective cohort studies providing essential longitudinal data. These data must be analysed in unison to reach statistical power, however, presently cohort data repositories are scattered, hard to search and integrate, and data protection and governance rules discourage central pooling. EUCAN-Connect will enable large-scale integrated cohort data analysis for personalized and preventive healthcare across EU and Canada. This will be based on an open, scalable data platform for cohorts, researchers and networks, incorporating FAIR principles (Findable, Accessible, Interoperable, Reusable) for optimal reuse of existing data, and building on maturing federated technologies, with sensitive data kept locally and only results being shared and integrated, in line with key ELSI and governance guidelines. Widespread uptake will be promoted via beyond state-of-the-art research in close collaboration with leading cohort networks, focused on early-life origins of cardio-metabolic, developmental, musculoskeletal and respiratory health and disease impacting human life course. To address challenges of sustainability and curation, we will deliver innovative solutions for distributed, low-cost data harvesting and preservation, community curation/harmonization, privacy protection, open source bioinformatics toolbox development, and international governance. EUCAN-Connect platform and collaborations will be coordinated through BBMRI-ERIC (EU) and Maelstrom Research (Canada) to sustain long-term benefits to science and citizens worldwide.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 824077
    Overall Budget: 9,999,360 EURFunder Contribution: 9,999,360 EUR
    Partners: VLIZ, VOYAGERIP INTERNATIONAL SERVICES LIMITED, NIWA, TALLINN UNIVERSITY OF TECHNOLOGY, Royal Belgian Institute of Natural Sciences, CNR, HCMR, HAMPIDJAN, BIOS, IO PAN...

    EurofleetsPlus will facilitate open access to an integrated and advanced research vessel fleet, designed to meet the evolving and challenging needs of the user community. European and international researchers from academia and industry will be able to apply for several access programmes, through a single-entry system. EurofleetsPlus will prioritise support for research on sustainable, clean and healthy oceans, linking with existing ocean observation infrastructures, and support innovation through working closely with industry. The project will enable access to a unique fleet of 27 state-of-the-art research vessels from European and international partners. Through competitive Calls, researchers will be able to access the entire North Atlantic, Mediterranean, Black Sea, North Sea, Baltic Sea, Pacific Southern Ocean and Ross Sea. In addition to ship time, researchers will also have access to new Autonomous Underwater Vehicles and Remotely Operated Vehicles. A unique portable telepresence system will enable remote access by researchers and diverse end users including the public; a first for Europe. In addition to comprehensive transnational activities, the project will undertake joint research activities to meet the evolving challenges of marine research, in particular, deep ocean research and exploration, data management, and virtual access. Multiple networking activities will ensure robust Call processes; wide stakeholder engagement; development of a strategic roadmap and long-term sustainability plan; diverse training and education activities; management of innovation; and widespread dissemination and communication. EurofleetsPlus will facilitate access to unique marine infrastructure, enabling excellent research, increasing ocean literacy, and providing a clear road map for the continued integration and advancement of the European research fleet.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 815122
    Overall Budget: 6,098,410 EURFunder Contribution: 4,499,670 EUR
    Partners: TsIAM, University Federico II of Naples, ONERA, KE-WORKS, POLITO, ISAE, RWTH, TU Delft, Bombardier (Canada), FSUE...

    A major challenge in the transport sector is to make economic growth compatible with sustainability and environmental constraints, while remaining competitive and innovative. The development of aeronautical products is a complex multidisciplinary process with requirements and constraints on the air transport system as a whole, the aircraft, and all the individual components to be produced. A major challenge impeding an efficient and cost-effective design processes is the integration of the various levels of the aeronautical supply chain. Therefore, the aeronautical industry needs to connect all the people, skills and technologies involved in its collaborative, multi-national and cross organizational processes, by means of a digital representation of production systems, supply chains, and seamless operations across diverse disciplines, during the entire life-cycle of the product. The high level objective of AGILE 4.0 is to bring significant reductions in aircraft development costs and time-to-market through the implementation of an integrated cyber-physical aeronautical supply chain, thereby increasing the competitiveness of the European aircraft industry, from integrators and high-tiers suppliers to SMEs, leading to innovative and more sustainable aircraft products. AGILE 4.0 targets the digital transformation of main main pillars of the aeronautical supply-chain: design, production and certification and manufacturing.The composition of the AGILE 4.0 consortium and capabilities available enable to address realistic development scenarios integrating multiple stakeholders and covering all the aspects of the development of complex aeronautical systems. AGILE 4.0 will provide the aircraft industry with a way to model, assess, and optimize complex systems addressing the entire life cycle. The technologies developed will enable stake-holders and actors of the aeronautical supply chain to perform trade-off which have never been possible to model before.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 847441
    Overall Budget: 5,929,650 EURFunder Contribution: 3,186,500 EUR
    Partners: ENEA, UniPi, CHINA NUCLEAR POWER TECHNOLOGY RESEARCH INSTITUTE Co. Ltd., Jacobs Clean Energy Limited, VDU, JRC, CEA, PSI, CIEMAT, LGI...

    In the current state of maturity of severe accident codes in terms of phenomena addressed and extensive validation conducted, the time has come to foster BEPU,Best Estimate Plus Uncertainties, application in the severe accident (SA) domain, and accident management (AM). The advantages with respect to deterministic analysis are known: avoid adopting conservative assumptions in the model and allow identifying safety margins, quantify likelihood of reaching specific values and, through the distribution variance provide insights into dominating uncertain parameters.The overall objective of the Management and Uncertainties of Severe Accident (MUSA) project is to assess the capability of SA codes when modelling reactor and SFP (Spent Fuel Pool) accident scenarios of Gen II and III. To do so UQ (Uncertainty Quantification) methods are to be used, with emphasis on the effect of already-set and innovative accident management measures on accident unfolding, particularly those related to ST (Source Term) mitigation. Therefore, ST related Figures Of Merit (FOM) are to be used in the UQ application. The MUSA project proposes an innovative research agenda in order to move forward the predictive capability of SA analysis codes by combining them with the best available/improved UQ tools and embedding accident management as an intrinsic aspect of SA analyses.MUSA develops through key activities which also describe the main outcomes foreseen from the project: identification and quantification of uncertainty sources in SA analyses; review and adaptation of UQ methods; and testing such methods against reactor and SFP accident analyses, including AM. Given the focus of FOM on source term, the project will identify variables governing ST uncertainties that would be worth investigating further. All the ingredients necessary to conduct the project are already available: analytical tools, experimental data, postulated reactor and SFP scenarios and, technical and scientific competences.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825775
    Overall Budget: 6,641,460 EURFunder Contribution: 5,998,460 EUR
    Partners: CLINICAGENO, EMBL, MU, INSERM, Helmholtz Zentrum München, UOXF, SWISS BIOBANKING PLATFORM, FUNDACIO CENTRE DE REGULACIO GENOMICA, McGill University, HES-SO...

    Thousands of human genomes and other biomolecular datasets are now being generated in health, rather than research contexts. Centralised storage and analysis of these is no longer technically feasible for data harmonisation, curation, sharing or analysis and ethical, legal, social reasons. CINECA’s vision is a federated cloud enabled infrastructure making population scale genomic and biomolecular data accessible across international borders, accelerating research, and improving the health of individuals across continents. CINECA will leverage international investment in human cohort studies from Europe, Canada, and Africa to deliver a paradigm shift of federated research and clinical applications. The CINECA consortium will create one of the largest cross-continental implementations of human genetic and phenotypic data federation and interoperability with a focus on common (complex) disease, one of the world’s most significant health burdens. The partners represent a unique combination of scientific excellence with experience of eleven diverse cohorts and scientific projects such as the European Genome-phenome Archive, CanDIG, and H3Africa. CINECA has assembled a virtual cohort of 1.4M individuals from population, longitudinal and disease studies. Federated analyses will deliver new scientific knowledge, harmonisation strategies and the necessary ELSI framework supporting data exchange across legal jurisdictions enabling federated analyses in the cloud. CINECA will provide a template to achieve virtual longitudinal and disease specific cohorts of millions of samples, to advance benefits to patients. CINECA will leverage partner membership of standards and infrastructures like the Global Alliance for Global Health, BBMRI, ELIXIR, and EOSC driving the state of the art in standards development, technical implementation and FAIR data.