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

Jupyter

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

The main objective of this session is to demonstrate how end-users can perform data analysis on large volume of datasets, and produce reusable results following the FAIR principles. During this training track, the latest features of the EGI DataHub, including the interoperability with the EGI Jupyter Notebooks and the EUDAT B2Handle and B2Find services, will be also introduced.

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