A federated FAIR platform enabling large-scale analysis of high-value cohort data connecting Europe and Canada in personalized health

Acronym

EUCAN-Connect

Description of the granted funding

Rapid progress in information and biotechnologies offers the promise of better, personalized health strategies using rich phenotypic, environmental and molecular (omics) profiles of every individual. To capitalize on this great promise, key challenge is to relate these profiles to health and disease while accounting for high diversity in individuals, populations and environments. Both Europe and Canada have long-term investments in population-based prospective cohort studies providing essential longitudinal data. These data must be analysed in unison to reach statistical power, however, presently cohort data repositories are scattered, hard to search and integrate, and data protection and governance rules discourage central pooling. EUCAN-Connect will enable large-scale integrated cohort data analysis for personalized and preventive healthcare across EU and Canada. This will be based on an open, scalable data platform for cohorts, researchers and networks, incorporating FAIR principles (Findable, Accessible, Interoperable, Reusable) for optimal reuse of existing data, and building on maturing federated technologies, with sensitive data kept locally and only results being shared and integrated, in line with key ELSI and governance guidelines. Widespread uptake will be promoted via beyond state-of-the-art research in close collaboration with leading cohort networks, focused on early-life origins of cardio-metabolic, developmental, musculoskeletal and respiratory health and disease impacting human life course. To address challenges of sustainability and curation, we will deliver innovative solutions for distributed, low-cost data harvesting and preservation, community curation/harmonization, privacy protection, open source bioinformatics toolbox development, and international governance. EUCAN-Connect platform and collaborations will be coordinated through BBMRI-ERIC (EU) and Maelstrom Research (Canada) to sustain long-term benefits to science and citizens worldwide.
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Starting year

2019

End year

2023

Granted funding

264 183.75 €
Participant
UMCG RESEARCH BV (NL)
11 700 €
Third party
EPIGENY (FR)
366 250 €
Participant
STICHTING VUMC (NL)
66 625 €
Participant
INSTITUTO DE SAUDE PUBLICA DA UNIVERSIDADE DO PORTO (PT)
135 625 €
Participant
BIOBANKS AND BIOMOLECULAR RESOURCESRESEARCH INFRASTRUCTURE CONSORTIUM(BBMRI-ERIC) (AT)
399 326.25 €
Participant
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE (UK)
701 768.75 €
Participant
FUNDACION PRIVADA INSTITUTO DE SALUD GLOBAL BARCELONA (ES)
224 740 €
Participant
The Research Institute of the Mc Gill University Health Centre (CA)
Participant
INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA (PT)
231 250 €
Participant
ACADEMISCH ZIEKENHUIS GRONINGEN (NL)
1 787 610 €
Coordinator
THE UNIVERSITY OF LIVERPOOL (UK)
145 000 €
Participant
UNIVERSITY OF NEWCASTLE UPON TYNE (UK)
666 625 €
Participant
ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM (NL)
521 875 €
Participant
KOBENHAVNS UNIVERSITET (DK)
477 125 €
Participant

Amount granted

5 999 704 €

Funder

European Union

Funding instrument

Research and Innovation action

Framework programme

Horizon 2020 Framework Programme

Call

Programme part
Health (5290)
Methods and data (5305)
Topic
International flagship collaboration with Canada for human data storage, integration and sharing to enable personalised medicine approaches (SC1-BHC-05-2018)
Call ID
H2020-SC1-2018-Single-Stage-RTD

Other information

Funding decision number

824989

Identified topics

public health, occupational health