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Integrated human data repositories for infectious disease-related international cohorts to foster personalized medicine approaches to infectious disease research

Integrated human data repositories for infectious disease-related international cohorts to foster personalized medicine approaches to infectious disease research

Objective

EU-CAN-SHARE 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.

Programme(s)

H2020-EU.3.1.5. - Methods and data

Topic(s)

SC1-BHC-05-2018 - International flagship collaboration with Canada for human data storage, integration and sharing to enable personalised medicine approaches

Call for proposal

H2020-SC1-2018-Single-Stage-RTD

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Funding Scheme

RIA - Research and Innovation action

Coordinator

UNIVERSITATSKLINIKUM HEIDELBERG

Address

Im Neuenheimer Feld 672
69120 Heidelberg

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 236 980

Website

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Participants (12)

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ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM

Netherlands

EU Contribution

€ 741 212,50

UNIVERSITE D'AIX MARSEILLE

France

EU Contribution

€ 375 000

EUROPEAN MOLECULAR BIOLOGY LABORATORY

Germany

EU Contribution

€ 1 429 370

UNIVERSITAIR MEDISCH CENTRUM UTRECHT

Netherlands

EU Contribution

€ 565 775

Universidad Industrial de Santander

Colombia

EU Contribution

€ 490 542,50

UNIVERSITY OF BRITISH COLUMBIA

Canada

MCMASTER UNIVERSITY

Canada

DANMARKS TEKNISKE UNIVERSITET

Denmark

EU Contribution

€ 683 750

ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING MCGILL UNIVERSITY

Canada

THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

United States

EU Contribution

€ 128 575

INSTITUT PASTEUR DE DAKAR

Senegal

EU Contribution

€ 123 250

SUSTAINABLE SCIENCES INSTITUTE

United States

EU Contribution

€ 185 570

Project information

Grant agreement ID: 825746

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    31 December 2022

Funded under:

H2020-EU.3.1.5.

  • Overall budget:

    € 6 960 025

  • EU contribution

    € 5 960 025

Coordinated by:

UNIVERSITATSKLINIKUM HEIDELBERG

Germany

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Last update: 15 April 2019

Record number: 221473