RDI Project Description
Content with Funding .
B1MG
The Beyond 1 Million Genomes project helps to create a network of genetic and clinical data across Europe. The project provides coordination and support to the 1+MG Initiative and will create long-term means of sharing data and enabling access beyond 1 million genomes.
Read More »
BIGPICTURE
BIGPICTURE, a pathology-led project, has the vision to become the catalyst of digital transformation in Pathology. Our mission is to create the first European GDPR compliant platform, in which both quality-controlled Whole Slide Imaging (WSI) data and advanced Artificial intelligence (AI) algorithms exist.
Read More »
Blue-Cloud
Blue-Cloud project pilots innovative services for Marine Research and Blue Economy. The project implements a practical approach to address the potential of cloud-based open science.
Read More »
CINECA
CINECA aims to provide a standardized, secure and scalable discovery and analysis infrastructure for data collected from national cohorts and disease collections. The consortium includes access to more than 1.4 million samples maintained by the biobank network in Europe, Africa and Canada
Read More »
DICE
The DICE project brings together a network of computing and data centres, research infrastructures, and data repositories for the purpose of enabling a European storage and data management infrastructure for the European Open Science Cloud (EOSC).
Read More »
EJP-RD
The European Joint Programme on Rare Diseases brings over 130 institutions from 35 countries to create a comprehensive, sustainable ecosystem allowing a virtuous circle between research, care and medical innovation.
Read More »
ELIXIR-CONVERGE
ELIXIR-CONVERGE is a project funded by the European Commission to help standardise life science data management across Europe. To achieve this standardisation, the project will develop a data management toolkit for life scientists.
Read More »
eLTER PLUS
This research infrastructure project deals with ecological research by providing observational data from the environment in hundreds of stations across Europe and enriching this data with economic, sociological and earth observation data.
Read More »
EOSC Future
EOSC Future attempts to integrate, consolidate, and connect e-infrastructures, research communities, and initiatives in Open Science to further develop the EOSC Portal, EOSC-Core and EOSC- Exchange of the European Open Science Cloud (EOSC).
Read More »
EOSC-Life
EOSC-Life brings together the 13 Biological and Medical ESFRI research infrastructures to create an open collaborative space for digital biology. EOSC-Life implements the Life Science part of the EOSC under coordination of ELIXIR, European infrastructure for Life Science Information.
Read More »
HealthyCloud
The aim of HealthyCloud is to drive the convergence of and align all the knowledge and expertise in health data, spread across European and international actors, to set the foundations for a future European Health Research and Innovation Cloud (HRIC), which will become a fundamental part of the EHDS.
Read More »
HEAP
HEAP will provide a research resource for an integrated and efficient analysis of the human exposome. HEAP will launch a state-of-the-science informatics infrastructure composed of prime ICT resources, accessed through a software platform to provide data warehousing and applied AI.
Read More »
INTERVENE
The aim of INTERVENE is to build the largest pool of health data to date and integrate longitudinal and disease-relevant omics data into genetic risk scores with unprecedented potential for prediction, prognosis, and personalised treatments of complex and rare diseases.
Read More »
NOMAD CoE
Predicting novel materials with specific desirable properties is a major aim of ab initio computational materials science and an urgent requirement of basic materials science, engineering and industry. NOMAD2 will develop a new level of materials modelling, enabled by upcoming HPC exascale computing.
Read More »
PerMedCoE
The HPC/Exascale Centre of Excellence in Personalised Medicine (PerMedCoE) aims to provide an efficient and sustainable entry point to the HPC/Exascale-upgraded methodology to translate omics analyses into actionable models of cellular functions of medical relevance.
Read More »