This is a website for an H2020 project which concluded in 2019 and established the core elements of EOSC. The project's results now live further in www.eosc-portal.eu and www.egi.eu
This is a website for an H2020 project which concluded in 2019 and established the core elements of EOSC. The project's results now live further in www.eosc-portal.eu and www.egi.eu
The project aims to allow researchers from Africa and China to use EOSC services on top of CNIC (Chinese Academy of Sciences) resources.
The OpenRiskNet project is developing an e-infrastructure for safety assessment, including predictive toxicology and structural biology.
ENVRI-FAIR connects the Environmental Research Infrastructure (ENVRI) community to the European Open Science Cloud.
A main goal of the early adopter is to create a DataMiner (DM) cluster and make it available to all the communities served by the D4Science infrastructure.
The goal of this early adopter is to deploy a service in EOSC that allows multiple users to run tasks for projects that collect nature conservation and biodiversity data.
VESPA is a mature project, with 50 providers distributing open access datasets throughout the world. The goal of the early adopter is to use the EOSC infrastructure to host VESPA provider's servers.
This early adopter aims at providing access to Kubernetes managed infrastructure to support the deployment and operation of on open AiiDA lab instance in EOSC.
The main goal is to deploy the ECRIN MetaData Repository (MDR) CORE database and metadata conversion tool in the European Open Science Cloud (EOSC).
The key aspect in the early adopter demonstrator is to show how federated EOSC resources can facilitate a range of Sentinel data applications across agricultural user domains.
In recent years, technological progress has been made in plant phenomics. High-throughput plant phenotyping platforms now produce massive datasets involving millions of plant images concerning hundreds of different genotypes at different phenological stages in both field and controlled environments. There is a need for an integrated and federated solution for data management and data processing.
EOSC-hub receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 777536.