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

Summer School

Integrative modeling of biomolecular complexes

Sunday, June 21, 2020 - 09:00 to 18:00

The summer school will include lectures and hands-on sessions on the following topics:

  • Molecular Dynamics simulations
  • Biomolecular Docking
  • QM/MM
  • Free energy calculations
  • Advanced sampling methods (Metadynamics)

During the hands-on computer practicals you will work on a use case integrating the various topics above making use, among others, of the BioExcel flagship software (GROMACS, HADDOCK, PMX). The summer school is supported by Sardegna Ricerche.

The CODATA-RDA Research Data Science Summer School

Monday, August 31, 2020 - 09:00 to Friday, September 11, 2020 - 13:00

This year the CODATA-RDA school was virtual.

2019 International Incoherent Scatter Radar (ISR) School

Monday, August 12, 2019 - 09:00 to Saturday, August 17, 2019 - 18:00

The International EISCAT Radar School is a training course for new users of incoherent scatter radars at any stage of their research career.
The school will be held at the nature resort Pikku-Syöte, about an hour and a half east of the city of Oulu during the week immediately preceeding the 19th International EISCAT Symposium, which will be held jointly with the 46th Annual European Meeting on Atmospheric Studies by Optical Methods (46AM).

Summer School on managing scientific data from analysis to long term archiving

Monday, September 23, 2019 - 09:00 to Friday, September 27, 2019 - 18:00

From 23-27 September 2019, EUDAT CDI and PRACE are organising a Summer School on "Managing scientific data from analysis to long term archiving". Taking place in the beautiful location of the International Centre for Theoretical Physics (ICTP) of Trieste (Italy), the school aims to build the foundational skills for managing and processing data within complex research environments. Starting from real use cases, the school will focus on all the steps part of a typical research data lifecycle (data discovery; data processing; data analysis; data preservation and publishing) combining frontal lessons with hands-on sessions.


SOSC 2019: Third International School on Open Science School

Monday, September 16, 2019 - 08:00 to Friday, September 20, 2019 - 19:00

The School is multi-disciplinary and targeted at postgraduate researchers including bachelor degree or equivalent in fields such as physics, statistics, computer science, computer vision, biology, medicine,engineering working at any research institute, with experience in data analysis, in computing or in related fields.

The Third School on Open Science Cloud will be held in Bologna, 16-20 September 2019 and is organised by INFN, University of Perugia and University of Bologna.

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.

2018 CODATA-RDA School of Research Data Science, ICTP, Trieste

Monday, August 6, 2018 - 14:48 to Friday, August 17, 2018 - 14:48

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.

International Summer School “Data Management in Environmental & Earth Science Infrastructures: Theory & Practice” July 9 – July 13

Monday, July 9, 2018 - 09:00 to Friday, July 13, 2018 - 12:30

In recent years, one of the major challenges in the Environmental and Earth Science has been managing and searching ever larger volumes of data, collected across multiple disciplines. The ENVRIplus project investigated a collection of more than 20 representative environmental research infrastructures (RIs) from different areas. By examining these research infrastructures and their characteristics, a common data lifecycle was identified. The data lifecycle is structured in five phases: Data Acquisition, Data Curation, Data Publishing, Data Processing and Data Use. Many different standards, approaches, and tools have been developed to support the Data Lifecycle. In particular, modern semantic technologies provide a promising way to properly describe and interrelate different data sources in ways that reduce barriers to data discovery, integration, and exchange among biodiversity and ecosystem resources and researchers.

The course is built as a five-day summer school providing a unique insight into the contemporary debate on Data Management in the environmental and earth sciences.  Leading scientists and experienced technical specialists will address this topic from different angles, attempting to gather what we consider the most interesting perspectives of our time. We offer a cutting edge and high-quality programme, aimed at fostering a rich and lively intellectual exchange.