Descripción del proyecto
Una plataforma internacional basada en la nube para analizar datos sobre enfermedades infecciosas
Los estudios de pacientes con enfermedades infecciosas han generado una gran cantidad de datos clínicos, epidemiológicos y ómicos complejos. Sin embargo, el almacenamiento y análisis de estos datos es todavía víctima de la fragmentación. El proyecto RECODID, financiado con fondos europeos, creará un repositorio común en la nube para alojar y compartir toda esta información con la comunidad científica internacional. La plataforma también proporcionará herramientas analíticas para el análisis eficiente, colaborativo e intersectorial de datos clínicos y de laboratorio, al tiempo que tendrá en cuenta todas las pautas éticas y de gobernanza. Cabe además destacar que proporcionará datos que orienten futuros estudios sobre el diagnóstico y tratamiento de enfermedades infecciosas.
Objetivo
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.
Ámbito científico
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SC1-2018-Single-Stage-RTD
Régimen de financiación
RIA - Research and Innovation actionCoordinador
69120 Heidelberg
Alemania