Project: CINECA
Website: https://www.cineca-project.eu/
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Coordinated by: EUROPEAN MOLECULAR BIOLOGY LABORATORY, Germany
Website: https://www.cineca-project.eu/
Social media: twitter
Coordinated by: EUROPEAN MOLECULAR BIOLOGY LABORATORY, Germany
CINECA (Common Infrastructure for National Cohorts in Europe, Canada, and Africa)’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) diseases.
Project: EUCANCan
Website: https://eucancan.com
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Coordinated by: BARCELONA SUPERCOMPUTING CENTER – CENTRO NACIONAL DE SUPERCOMPUTACION, Spain
Website: https://eucancan.com
Social media: twitter
Coordinated by: BARCELONA SUPERCOMPUTING CENTER – CENTRO NACIONAL DE SUPERCOMPUTACION, Spain
EUCANCan (European Canadian Cancer Network) aims to build a federated infrastructure across EU and Canada to enable personalized medicine in oncology by the generation and sharing of harmonized genomic and phenotypic data. EUCANCan builds on work performed by its consortium members and related projects to align and interconnect existing infrastructures for the analysis and management of genomic oncology data. The EUCANCan network will be composed of reference nodes in Amsterdam, Barcelona, Berlin, Heidelberg, Paris and Toronto with strong research and clinical programs in the field of genomic oncology.
Project: euCanSHare
Website: https://www.eucanshare.eu
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Coordinated by: UNIVERSIDAD POMPEU FABRA, Spain
Website: https://www.eucanshare.eu
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Coordinated by: UNIVERSIDAD POMPEU FABRA, Spain
euCanSHare is a joint EU-Canada project to establish a cross-border data sharing and multi-cohort cardiovascular research platform. The project will integrate data infrastructures, IT solutions and data sources from EU, Canada and other countries into a web-based data access system with functionalities for increased efficiency in cardiovascular data-driven research. euCanSHare integrates more than 35 Canadian and European cohorts making up over 1 million records and actively seeks to expand to other regions.
Project: Receptor Plus
Website: https://www.ireceptor-plus.com/
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Coordinated by: BAR ILAN UNIVERSITY, Israel
Website: https://www.ireceptor-plus.com/
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Coordinated by: BAR ILAN UNIVERSITY, Israel
Receptor Plus (Architecture and tools for the query of antibody and t-cell receptor sequencing data repositories for enabling improved personalized medicine and immunotherapy) aims to facilitate the sharing of AIRR-seq data among multiple institutions for a better understanding of the causes of infectious and autoimmune diseases and cancer. Its consortium of researchers from EU and Canada will address several key challenges to the optimal sharing of AIRR-seq data among public and industrial partners, such as patient privacy, intellectual property, data integration and harmonisation, to support early detection, identification of novel therapies and possibly reduce the social and economic burden of these diseases worldwide.
Project: RECODID
Website: recodid.eu
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Coordinated by: UNIVERSITATSKLINIKUM HEIDELBERG, Germany
Website: recodid.eu
Social media: twitter
Coordinated by: UNIVERSITATSKLINIKUM HEIDELBERG, Germany
ReCoDID (Integrated human data repositories for infectious disease-related international cohorts to foster personalized medicine approaches to infectious disease research) 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. 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.