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

Outcomes of the EOSC Early Adopter Programme Pilots

Time 18 November 2020, 14:00 - 15:30 CET
Chair Diego Scardaci (EGI)
Description

The EOSC-hub project has launched the EOSC Early Adopter Programme for research communities interested in exploring the latest state-of-art technologies and services offered by the European Open Science Cloud (EOSC). The ultimate goal of the programme is to gain insight into researchers’ needs and with their participation drive the future developments of the EOSC. The EOSC Early Adopter Programme (EAP) is allowing research communities to scale up the in-house infrastructure and to access a richer set of resources. EOSC-hub is providing expertise and resources to enable active usage of the EOSC and foster a culture of co-operation between researchers and EOSC providers. The programme offers a wide range of services (all available through the EOSC Portal & Marketplace ) for: (1) Data discovery and reuse, (2) Data processing and analysis, (3) Data management, curation and preservation and (4) Access, deposition and sharing, federated authentication and authorization. During this session, the EAP will be presented together with the results from the most promising pilots.

 

Programme

  • 14:00-14:15: Introduction to the EOSC Early Adopter Programme (Diego Scardaci - EGI Foundation)
  • 14:15-14:30: Transitioning EMSO ERIC Data Management Platform to production (Ivan Rodero - EMSO ERIC)
  • 14:30-14:45: Big Data Analytics for agricultural monitoring using Copernicus Sentinels and EU open data sets (Guido Lemoine - JRC)
  • 14:45-15:00: Open AiiDA lab platform for cloud computing in Materials Science (Aliaksandr Yakutovich - EPFL)
  • 15:00-15:15: Supporting FAIR data discoverability in clinical research: providing a global metadata repository (MDR) of clinical study object - Sergey Goryanin (ECRIN)
  • 15:15-15:30: Towards an e-infrastructure for plant phenotyping (Vincent Negrè - INRA)