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

Project description

An international cloud-based platform for the analysis of data on infectious diseases

Studies of patients with infectious diseases have generated a plethora of clinical, epidemiological and complex omics data. However, storage and analysis of these data remain fragmented. The EU-funded RECODID project will build a common cloud-based repository for housing and sharing all this information with the international scientific community. The platform will also provide analytic tools for the efficient, collaborative and cross-domain analysis of clinical and laboratory data while adhering to all ethical and governance guidelines. Importantly, it will provide the evidence for guiding future developments in diagnosis and treatment of infectious diseases.

Objective

ReCoDID 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.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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RIA - Research and Innovation action

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Call for proposal

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(opens in new window) H2020-SC1-BHC-2018-2020

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Coordinator

UNIVERSITATSKLINIKUM HEIDELBERG
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 445 130,40
Address
IM NEUENHEIMER FELD 672
69120 HEIDELBERG
Germany

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Region
Baden-Württemberg Karlsruhe Heidelberg, Stadtkreis
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 445 130,40

Participants (16)

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