This document describes the standards utilised, and the implementations and deployments of these standards during the CINECA project. It links to the documentation of the standards, as well as the implementations, and deployments supporting the discovery, access control, and metadata required to enable the use cases to perform their respective federated analyses. The document links to other projects, such as the European Genomic Data Infrastructure and H2020 projects which utilise and will extend the work and standards described in this document
WP4 of the CINECA project aims to create a comprehensive set of pipelines and tools that can facilit...
This document describes the outcome of the Data Description Registry Interoperability (DDRI) working...
Data interoperability is key to the FAIR principles, yet can be challenging to put into practice. Th...
The overarching purpose of CINECA is to achieve federated human data interoperability between 10 exi...
The overarching purpose of CINECA is to achieve federated human data interoperability between 10 exi...
In this deliverable document, we report on the activities for Deliverable 4.1 - Report on trust mode...
The goal of CINECA is to enable the exchange of population scale health data across international bo...
The aim of the CINECA project is to create a federated cloud enabled infrastructure to make populati...
The federated analysis platform defined by this task aims to provide technological solutions for thr...
The CINECA consortium was formed in response to the EU call ‘Better Health and care, economic growth...
To support human cohort genomic and other omic data discovery and analysis across jurisdictions, bas...
CINECA aims to support the federated queries and analyses of distributed cohorts across continents. ...
Health data collected in cohort studies are valuable sources for knowledge generation and the advanc...
Health data collected in cohort studies are valuable sources for knowledge generation and the advanc...
Health data collected in cohort studies are valuable sources for knowledge generation and the advanc...
WP4 of the CINECA project aims to create a comprehensive set of pipelines and tools that can facilit...
This document describes the outcome of the Data Description Registry Interoperability (DDRI) working...
Data interoperability is key to the FAIR principles, yet can be challenging to put into practice. Th...
The overarching purpose of CINECA is to achieve federated human data interoperability between 10 exi...
The overarching purpose of CINECA is to achieve federated human data interoperability between 10 exi...
In this deliverable document, we report on the activities for Deliverable 4.1 - Report on trust mode...
The goal of CINECA is to enable the exchange of population scale health data across international bo...
The aim of the CINECA project is to create a federated cloud enabled infrastructure to make populati...
The federated analysis platform defined by this task aims to provide technological solutions for thr...
The CINECA consortium was formed in response to the EU call ‘Better Health and care, economic growth...
To support human cohort genomic and other omic data discovery and analysis across jurisdictions, bas...
CINECA aims to support the federated queries and analyses of distributed cohorts across continents. ...
Health data collected in cohort studies are valuable sources for knowledge generation and the advanc...
Health data collected in cohort studies are valuable sources for knowledge generation and the advanc...
Health data collected in cohort studies are valuable sources for knowledge generation and the advanc...
WP4 of the CINECA project aims to create a comprehensive set of pipelines and tools that can facilit...
This document describes the outcome of the Data Description Registry Interoperability (DDRI) working...
Data interoperability is key to the FAIR principles, yet can be challenging to put into practice. Th...