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The CINECA project - Addressing bottlenecks in cohort data analysis

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Date: Thursday 6 June 2019, 14:30 - 15:30 (Europe/London)

Participation:  First come, first served

Contact: Vera Matser


Overview

This webinar introduces the CINECA (Common Infrastructure for National Cohorts in Europe, Canada, and Africa) project, which aims to develop a federated cloud enabled infrastructure to make population scale genomic and biomolecular data accessible across international borders, to accelerate research, and improve 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. 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. It 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. 

The CINECA webinar series aims to discuss ways to address common challenges and share best practices in the field of cohort data analysis, as well as distribute CINECA project results. All CINECA webinars include an audience Q&A session during which attendees can ask questions and make suggestions. Please note that all webinars are recorded and available for posterior viewing.