Date: Thur 4 March 2021
Time: 3:00 PM GMT / 4:00 PM CET
Materials: Slides - Practically FAIR
Location: Online
Contact: Mamana Mbiyavanga & Marta Lloret Llinares
Overview
The CINECA "How FAIR are you" webinar series continues with a presentation by Andrew Stubbs, from the Erasmus Medical Center.
This webinar will focus on practical applications of the FAIR data principles, particularly in the context of clinical bioinformatics. We will highlight several example projects that have put the FAIR principles in practice, and discuss the advantages and some of the challenges involved. ELIXIR Galaxy community (elixir-europe.org/communities/galaxy) promotes the use of Galaxy projects that enhance the FAIRness in data analysis. We will demonstrate the Galaxy services that deliver practical FAIR data analysis with “Single Sign-On” capability provided by ELIXIR-AAI. The aim is to provide (medical) researchers with the practicalities of implementing and using FAIR principles in the context of the CINECA project as applied to translational research at Erasmus University Medical Center.
The “How FAIR are you” webinar series and hackathon aim at increasing and facilitating the uptake of FAIR approaches into software, training materials and cohort data, to facilitate responsible and ethical data and resource sharing and implementation of federated applications for data analysis.
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.
ABOUT THE SPEAKER
Dr Stubbs is an Associate Professor in the Department of Pathology and Clinical Bioinformatics. The Stubbs group is focused on Artificial Intelligence (AI) in Healthcare, Translational Bioinformatics and FAIR data management in translational and clinical research. His group have applied Machine learning to discriminate bacteria from viral infections to reduce the use of antibiotic treatment (Tailored treatment H2020: cordis.europa.eu/project/id/602860) and Deep Learning to deliver predictive models form multi-omics experiments to improve patient stratification in pancreatic cancer patients (Eurostars iKnowIT grant: www.erasmusmc-rdo.nl/project/iknowit-integrated-knowledge-discovery-it/; Hanarth Fonds: www.erasmusmc-rdo.nl/project/5702/). His team are the Dutch lead for the European Galaxy project and have implemented Galaxy servers and services supporting Cancer research (including and neo-antigen prediction), metagenomics (NanoGalaxy) and for immune repertoire analysis (ARGalaxy). FAIR data management is a prerequisite for reproducible science and required by all H2020 projects. To address this requirement we have developed a cloud based FAIR data management and analysis platform (myFAIR) for use in the Canada-European Big Data Federated analysis (CINECA: www.cineca-project.eu/) H2020 project.
About CINECA
The CINECA (Common Infrastructure for National Cohorts in Europe, Canada, and Africa) project 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.