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

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.

• 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 Handle.net
  • Accessibility: Oneprovider
  • Interoperability: APIs,  standards (OAI-PMH)
  • Reproducibility: Notebooks, Oneprovider
• Live demo (50’) - Bartosz Kryza, CYFRONET
• Q&A (10’)