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

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

Friday 12 April 2019, 11:00 - 12:30, Room: Cracow I+II

Chairs Lukasz Dutka, CYFRONET

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.

Main target audience
  • Researcher communities to perform analysis on large scale data.
  • Introduction about the problem that we want to target (10’) - Lukasz Dutka, CYFRONET
  • EOSC-hub services to address the problem according to the FAIR principles (20’) - Lukasz Dutka, CYFRONET (Download ppt)
    • Findability: B2FIND, B2HANDLE and
    • Accessibility: Oneprovider
    • Interoperability: APIs,  standards (OAI-PMH)
    • Reproducibility: Notebooks, Oneprovider
  • Live demo (50’) - Bartosz Kryza, CYFRONET
  • Q&A (10’)