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ASSOCIACAO BIP4DAB

Country: Portugal

ASSOCIACAO BIP4DAB

4 Projects, page 1 of 1
  • Funder: European Commission Project Code: 101058020
    Overall Budget: 14,252,900 EURFunder Contribution: 14,252,900 EUR

    Developing a resilient and sustainable agriculture system, and the agroecological transitions requires a deep understanding of agroecosystems, their interactions with the environment, and management practices. AgroServ features a large consortium of research infrastructures, most of them being on the EU roadmap, and a vast offer of services at all scales, from the molecule to the organism, to the ecosystem, to the society. AgroServ will facilitate a systemic and holistic approach to understand the threats and challenges agriculture is facing, towards the implementation of a resilient and sustainable agri-food system. We propose a transdisciplinary offer of services, integrating the actors of the agriculture system in the research process, of which the farmers are the first, thanks to a wide offer of living labs across Europe. Most of the relevant field of sciences are represented in AgroServ, from natural to social sciences. We will develop a wider catalogue of integrated and customized services, thanks to a specific approach of service pipelines designed from a gap analysis, stakeholder and user demands. A strong community building and training program for access managers and users will be implemented to facilitate multi- and transdisciplinary research with all relevant actors. Results from the research performed under AgroServ will be synthetized to be used in the scope of evidence-based policy making. Data from AgroServ will be open and compliant with FAIR practices, and made available on the long-term to the communities, and be linked with the main European initiatives, as the EOSC. Strong links will be established with existing or future programs under H2020 and Horizon Europe, such as the partnerships agroecology, living labs and research infrastructures, and agriculture of data, as well as the two CSA AE4EU and ALL-READY, and the missions soil and plant health, and waters. AgroServ will collaborate with other relevant initiative in the Pillar II to of HE.

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  • Funder: European Commission Project Code: 101131056
    Funder Contribution: 4,218,810 EUR

    The mission of EOSC-ENTRUST is to create a European network of trusted research environments for sensitive data and to drive European interoperability by joint development of a common blueprint for federated data access and analysis. Countries and institutions have made significant investments in secure and trusted data environments to meet the need for research and policy-driven analysis of sensitive datasets such as people's health and socio-economic status, the habitats of vulnerable species and geo-spatial locations of protected sites. There are now a large number of such secure environments in operation - linked to national centres, individual organisations or specific research communities. This fragmented landscape poses challenges for both users and providers: researchers are faced with a large number of different systems and access procedures; providers need to manage federated access across multiple, potentially incompatible, technology and governance frameworks. EOSC-ENTRUST brings together providers of operational Trusted Research Environments from 15 European countries with a shared goal to implement, validate and promote their capabilities through a common European framework using shared standards and common legal, operational and technical language. This blueprint for interoperability is anchored in the EOSC Interoperability Framework spanning the four dimensions of Legal, Organisational, Technical and Semantic interoperability. EOSC-ENTRUST has identified four driver projects covering Genomics, Clinical trials, Social science, and public-private partnerships to benchmark capabilities, inform blueprint design and demonstrate secure data analysis using federated workflows. Targeted outreach activities will expand this open network with further providers and develop policy papers and guidelines for the full range of stakeholders to create a long-term operational TRE framework within the European Open Science Cloud.

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  • Funder: European Commission Project Code: 101131096
    Overall Budget: 4,000,000 EURFunder Contribution: 3,200,000 EUR

    ELIXIR unites Europe’s leading life science organisations in managing and safeguarding the increasing volume of data being generated by publicly funded research. It coordinates, integrates and sustains bioinformatics resources across its 23 Nodes. ELIXIR enables users in academia and industry to access services (databases, software, training, standards, compute) provided through national Nodes. ELIXIR is the ESFRI Landmark for life science data and plays a unique role in the landscape, with millions of users globally, supporting the digital-needs of other ESFRIs and Horizon Europe research projects. Increasingly, life-science data is held at national and institutional centres. Thus, large-scale data analytics requires that researchers can find and analyse data distributed across Europe. The purpose of ELIXIR-STEERS is to build capacity for large-scale, cross-border data analysis and for this capacity to be embedded across member states. ELIXIR-STEERS directly benefit Europe’s life scientists by allowing software and workflows to meet requirements of those using them in national centres. A ‘robust, reproducible and green’ approach to software and workflow provision will ensure that scientists have access to high quality, energy-efficient analysis tools. The project will also develop the crediting and recognition systems for software, supporting improvements to research assessment frameworks. Further, ELIXIR-STEERS supports ELIXIR’s long-term operations by addressing the recommendations of the European Commission and ESFRI on the long-term sustainability of research infrastructures. It will strengthen the operational excellence of ELIXIR’s Nodes; support the training and development of professional and scientific staff in ELIXIR Nodes; expand the membership of ELIXIR to new countries, especially widening countries; enable international collaborations in particular with Latin America and Africa; and stimulate innovation and industry engagement.

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  • Funder: European Commission Project Code: 101188201
    Overall Budget: 9,767,240 EURFunder Contribution: 9,767,240 EUR

    MALDIBANK: A Comprehensive Solution to Microbial Challenges In an era marked by pressing environmental and health challenges, including climate change, biodiversity loss, global epidemics, and food security, understanding and leveraging the power of microbes is critical. Microbes, fundamental to the biosphere, impact everything from ecosystem dynamics to human health. However, their vast diversity remains largely underestimated. To harness this potential, precise identification of microorganisms is crucial, especially given their varied implications across different sectors. Over the past 15 years, MALDI-TOF (Matrix-Assisted Laser Desorption/Ionization Time-of-Flight) mass spectrometry (MS) has revolutionized microbial identification in fields such as clinical microbiology, food safety, environmental monitoring, and sustainable agriculture. Despite its transformative potential, MALDI-TOF MS technology has been underutilized outside clinical microbiology. MALDIBANK emerges as a groundbreaking initiative to extend the reach of this technology, providing innovative solutions for understanding and utilizing microbial diversity for global problem-solving. MALDIBANK is conceptualized as a global, cloud-based, open MALDI spectra databank for the identification of microorganisms, combining a vast spectrum database with advanced algorithmic tools. This databank will facilitate processing, characterization, epidemiological surveillance, and more, embodying Open Science and FAIR data principles. It aims to become a new reference in microbial identification, drawing parallels with the impact of GenBank in genomics. By integrating 100,000 reference spectra with rich metadata and employing deep learning models, MALDIBANK will enhance microbial characterization and support areas like antimicrobial resistance prediction and environmental monitoring. It will serve as a dynamic resource for the global scientific community, enabling the exploration of microbial capabilities an

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