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 and

PPT Power Point presentation

ECAS training in 3rd ENES Workshop on Workflows

Materials used during the ECAS training in 3rd ENES Workshop on Workflows workshop

Second International PhD School on Open Science Cloud

Training material of the Second International PhD School on Open Science Cloud

EOSC-hub WP11 Train the Trainer Webinar

Train the Trainer webinar organized by EOSC-hub WP11 

Virgo Computing School

Materials used during the VIRGO Winter School

OpenAIRE - EOSC-hub webinar “Data Privacy and Sensitive Data Services”

Materials used during the OpenAIRE - EOSC-hub webinar “Data Privacy and Sensitive Data Services” webinar

OPENCoastS Coastal circulation on-demand forecast

Training materials for the: "OPENCoastS Coastal circulation on-demand forecast" event

Security Workshop @ ISGC2019

Training modules used duing the Security Workshop @ ISGC 2019

EGI Jupyter Notebooks tutorial

Materials for the tutorial that was given in Taipei on Apr 2, 2019. The tutorial was 3x90 minutes long.

The webpage and abstract of the tutorial is available at

EOSC-hub Data Platforms for data processing and solutions for publishing and archiving scientific data - Part I

The main objective of this session is to show how EOSC services can be used for managing active research data (i.e. data transfer, storage, and sharing) and for preserving final research data (i.e. data archiving and publishing). During this training, we will give a brief overview of the EUDAT Services in the data life cycle and demonstrate how these services operate and integrate with each other to meet the data management requirements of research communities and comply with the FAIR principles - which require the data to be properly documented, annotated, archived, published and accessible to the wider community.

This training track is relevant for researchers, IT support people, and service providers who operate services for Open Science.

Training on the INDIGO/DEEP/XDC Services

DEEP-Hybrid-DataCloud project aims to promote the integration of specialized, and expensive, hardware under a Hybrid Cloud platform, so it can be used on-demand by researchers of different communities.

XDC project aims at address high-level topics ranging from the federation of storage resources with standard protocols, the policy driven data management based on Quality of Service, data lifecycle management, metadata handling and manipulation, data preprocessing and encryption during ingestion, and smart caching solutions among remote locations.

This training session will provide practical overview on the solutions implemented both at the level of IaaS, PaaS and SaaS within the projects: INDIGO-DataCloud, eXtreme DataCloud (XDC) and DEEP-HybridDataCloud.