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

Past Training Events

SOSC 2018 - Second International PhD School on Open Science Cloud

Monday, September 17, 2018 - 08:00 to Friday, September 21, 2018 - 18:10

The 2018 school is devoted to "Predictive Models" and, as the previous edition, will consist of a serie of lectures, seminars and hands-on sessions on several interconnected topics, as:

  • The world of Big Data 
  • ​Data acquisition, managing and handling 
  • Machine and Deep Learning 
  • Computing models and data analysis 
  • Cloud Infrastructures 
  • ML Research to Business 

More in details, Data Management will be explored in terms of the full potential for Cloud paradigma exploitation especially from the infrastructural point of view, presenting the state of the art, contemporary issues and challenges for future. Few realistic examples will be used to drive the discussion: Big Data and high throughput requests, streaming and security. Machine Learning will be also discussed in terms of Predictive Models, investigating specific data structures for ML technologies. 
The school is organised to serve scientific communities: High Energy Physics, Material Simulation, Meteorological and Environmental studies, etc.

ECAS training in 3rd ENES Workshop on Workflows funded by ESiWACE

Thursday, September 13, 2018 - 08:00 to Friday, September 14, 2018 - 13:30

The ESiWACE "Centre of Excellence in Simulation of Weather and Climate in Europe" project is organising the: 3rd ENES Workshop on Workflows.

The main focus of the workshop is on workflow requirements, challenges, tools and solutions for scientific research in the climate and weather domains. The workshop sessions will address specifically (i) Workflow software, (ii) Recent community experiences exploiting workflow tools  and (iii) data centre requirements for workflows.

EOSC-hub T7.3 team will deliver training on the ECAS service to the climate community during the workshop. 

OPENCoast training event at the IMUM 2018 workshop

Tuesday, September 11, 2018 - 09:00 to Friday, September 14, 2018 - 13:00

The 17th International workshop on Multi-scale (Un)-structured mesh numerical Modeling for coastal, shelf, and global ocean dynamic will be held in Hamburg, Germany, from September 11th to 14th, 2018. The workshop is organized by the Max Planck Institute for Meteorology (Hamburg) and the Alfred-Wegener-Institut for Polar and Marine Research (Bremerhaven).


Monday, September 10, 2018 - 09:00 to 18:00


Introduction to ELIXIR AAI (slides, slides)

  • Introduction to the ELIXIR AAI
  • Supported protocols towards RPs - SAML2/OIDC
  • Procedure to register a service to the ELIXIR AAI test and production environment

Registering a relying service to ELIXIR AAI (hands-on) (slides)

  • Trainers help the participants to integrate their own service to the test environment of ELIXIR AAI
  • The trainers will provide a virtual machine with a test service for those participants who haven’t brought their own service

Based on participants’ request we have prepared additional topics

  • ELIXIR identifiers
  • Attributes
  • User’s group memberships
  • Tiered access to data
  • Permissions API
  • Level of assurance and step-up authentication

Training of “EUDAT Tools” (Part of “Train-the-Trainer: Exploring tools for FAIR data”)

Friday, August 17, 2018 - 09:45 to 16:15

Diving into four services developed in the EUDAT project: for data discovery (B2FIND), data exchange (B2DROP), data publishing and preservation (B2SHARE) and data annotation (B2NOTE). These services are now maintained and provided by the EOSC-hub project, which has started in 2018 with the aim to provide an access and delivery channel for the services, software and data provided by e-Infrastructures and research communities across Europe, working towards the future European Open Science Cloud.

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.

3rd Masterclass on Disaster Mitigation @APAN46

Wednesday, August 8, 2018 - 09:00 to Thursday, August 9, 2018 - 17:00

Federating resources to alleviate the natural disasters impacts and collaborating with broader communities in Asia supported by APAN framework is the long-term goal of APAN Disaster Mitigation Working Group (DMWG). Taking advantage of the APAN46 hosted in New Zealand, it is a great opportunity for us to outreach to the disaster mitigation communities in New Zealand, Australia and nearby countries.

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.

2018 UNIDATA User Workshop

Monday, June 25, 2018 - 11:00 to 11:45

The workshop will bring together community members, and distinguished speakers, and Unidata staff, to raise awareness of the current trends in the academic geoscience community with an emphasis on Data Proximate Analysis, Machine Learning and Data Analytics, Using GOES-16 Data, and Working with Ensemble NWP Output. Scientists and educators from the academic geoscience community will present ideas and techniques for making effective use of geoscience data and share activities, course materials, and ideas for improving education and research.

There will be hands-on workshops, a poster session, and time for informal discussions with presenters and Unidata developers.

3rd. EOSC-hub technical talk on: Cloud, containers, orchestration- 2018

Thursday, June 21, 2018 - 14:00 to 15:30

This is the 3rd. EOSC-hub tech-talk focussing on cloud, container and orchestrator services offered in the project. The overal goal of this meeting is to bring together technical experts and scientific communities, discuss about the problems/requirements raised by EOSC-hub communities, and identify solutions for them.

During the meeting:

1.) An introductory presentation about the technical area will be introduced by experts
2.) EOSC-hub communities will introduce the problems/requirements they have to address 
3.) Q&A session to identify solutions for the problems raised and discuss about the follow up.