Past Training Events

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. 

Agenda:

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

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.

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.