Services for the European Open Science Cloud

Training events


Monday, August 5, 2019 - 09:00 to Friday, August 16, 2019 - 13:00

The CODATA-RDA Research Data Science Summer School provides training in the foundational skills of Research Data Science.  Contemporary research – particularly when addressing the most significant, transdisciplinary research challenges – cannot be done effectively without a range of skills relating to data. This includes the principles and practice of Open Science and research data management and curation, the use of a range of data platforms and infrastructures, large scale analysis, statistics, visualisation and modelling techniques, software development and annotation and more. We define ‘Research Data Science’ as the ensemble of these skills.

The material covered here is fundamental to all areas of Data Science and hence open to researchers from all disciplines that deal with significant amounts of data. The focus is provide a practical introduction to these topics with extensive labs and seminars.


  • Open Science
  • Introduction to Unix Shell
  • Programming for Analysis
  • Git
  • Research Data Management
  • Author Carpentry
  • Data Visualisation
  • Information Security
  • Machine Learning
  • Computational Infrastructures

HADDOCK On Information-Driven Modelling Of Biomolecular Complexes – DSxWORKSHOP

Wednesday, July 24, 2019 - 08:30 to 17:40

HADDOCK is one of the earlier developed protein-protein docking tools contributed by the Computational Structural Biology group / NMR Research Group of Utrecht University that was led by Prof. Bonvin. HADDOCK can integrate information derived from biochemical, biophysical or bioinformatics methods to enhance sampling, scoring, or both. The information that can be integrated is quite diverse: among others interface restraints from NMR, mutagenesis experiments, or bioinformatics predictions and, recently, cryo-electron microscopy experiments.

An EOSC-hub proposal for the EOSC Technical Architecture

Wednesday, July 24, 2019 - 11:00 to 12:30

This webinar will describe the Reference Technical Architecture for EOSC proposed by EOSC-hub during the recent EOSC-hub Technical Workshop.

The proposed architecture is based on the concepts of service composability and interoperability. Service categories and relationships between them will be presented. The process to define interoperability guidelines for different technical areas will be also depicted.

Disaster Mitigation Collaboration Meeting @APAN48

Wednesday, July 24, 2019 - 09:00 to 10:30

Disaster Mitigation Working Group will host a one-day workshop aiming to:

  1. Review the collaboration model and case study status
  2. Discuss the collaboration with Agriculture Working Group
  3. Future training events by UND projects (Asi@Connect funded project) and other activities
  4. Extend the APAN-EGI collaboration framework and regional collaborations

An EOSC-hub proposal for the EOSC Service Management System

Tuesday, July 23, 2019 - 11:00 to 12:30

This webinar will introduce the Service Management System based on the FitSM standard for IT Service Management developed and deployed by EOSC-hub for EOSC, with a particular focus on the Service Portfolio Management as a key and highly strategic process. The structure of the EOSC Service Portfolios will be also presented.

EMBO course on Integrative Structural Biology at Institut Pasteur

Monday, July 8, 2019 - 10:14 to Friday, July 12, 2019 - 10:14

The fourth Course on Integrative Structural Biology, which will take place at the Institut Pasteur from july 8 to july 13, 2019

This course is supported by EMBO (European Molecular Biology Organization). For more information see here
Problems in structural biology today can very often not be solved by one technique alone, but need to be solved by a combination of methods, including NMR, X-ray crystallography, electron microscopy, structural mass spectrometry, and SAXS. The heterogeneous data coming from these methods need to be combined with advanced molecular modeling techniques. The goal of the course is to provide young scientists that have more specialized knowledge in one of the techniques an overview over the broad range of modern structural methods available. Special emphasis will be given to computational approaches to integrate data (such as IMP, ARIA).

EOSC DIH Webinar - Business Internationalisation

Tuesday, July 9, 2019 - 11:14

EOSC-hub DIH delivered a webinar on business internationalisation by Tim Brown of F6S

BioExcel Summer School on Biomolecular Simulations 2019

Monday, July 1, 2019 - 09:30 to Friday, July 5, 2019 - 14:30

The summer school is intended for researchers (primarily PhD and post-docs) using or planning to use biomolecular modeling and simulation in their everyday research. Familiarity with Linux and some basic knowledge of molecular modelling software is a requirement.

Synergy of experiment and computation in quantitative systems biology

Sunday, June 23, 2019 - 18:00 to Friday, June 28, 2019 - 09:00

Computational methods and biophysical experiments have advanced rapidly in parallel over recent decades, and are now applied widely to gain molecular-level insights on biological systems. The vast majority of biophysical methods report on the behavior of populations of molecules or on the properties of states of a system. Yet a quantitative understanding of biological systems requires a molecular-level description of phenomena that is generally unobtainable from measurements carried out in bulk. Computations carried out on single macromolecules do not necessarily reflect the statistical nature of molecular behaviors or systems that is captured by experiment. Yet computational approaches can be highly valuable for predicting and interpreting experimental results, and for designing critical experiments to test hypotheses. 

CompBioMed Webinar #9: EUDAT services for FAIR Data Management

Thursday, June 27, 2019 - 12:00 to 13:00

In this webinar, we will give a brief overview of the EUDAT Services and the data life cycle. We further 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. Target audience: community researchers, data managers and the IT support people.