This online training course aims to provide a basic understanding of HPDA challenges for eScience and how these are addressed by the Ophidia HPDA framework. Ophidia is a CMCC Foundation research effort targeting scientific data-intensive analysis, by joining HPC paradigms and Big Data approaches. The framework specifically targets the analysis on top of HPC systems and is currently involved in the ESiWACE2 CoE and the eFlows4HPC EuroHPC JU projects for large-scale scientific data analytics.

This training aims to help the users to port their code to LUMI, the European pre-exascale supercomputer, that will achieve its high computing power thanks to a large number of nodes with AMD GPUs. The course consists of lectures and hands-on exercises. Participants will be provided with training account on the LUMI Early Access Platform.

In this course the student will learn a wide range of OpenMP topics, starting from the basics before moving to really advanced topics.

This course is organized and led by Aalto Research Software Engineer group. It is a medium-advanced course in Python tools such as NumPy, SciPy, Matplotlib, and Pandas. It is suitable for people who have a basic understanding of basic Python and want to know some internals and important libraries for science.

Learn about ParaView and Ophidia to efficiently analyze and visualize weather and climate data.

In this course, you will become familiar with tools and best practices for scientific software development. We don’t teach programming, but we teach the tools you need to do programming well and avoid common inefficiency traps. The tools we teach are practically a requirement for any scientist that has to do their own programming. The main focus is on using Git for efficiently writing and maintaining research software.

This course is dedicated to scientists and students to learn (sequential) programming with Fortran of scientific applications. The course teaches newest Fortran standards. Hands-on sessions will allow users to immediately test and understand the language constructs. This workshop provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.

Bring your code and learn how to write tests for it with the help of a mentor!

The aim of this workshop is to bring together climate scientists and experts from academia and industry to share knowledge and experience and to identify new opportunities in the areas of machine learning, artificial intelligence and big data techniques for Weather and Climate Modelling.

ESMValTool hackathon is organized by INES, IS-ENES3 and NICEST2.

The goal is to take a bottom up approach to explore how the current international standards and tools for managing climate model output can be reused in a Nordic context to help ensure the valuable climate model outputs are FAIR and open. We will use real world output from two global climate models (NorESM and EC-Earth) and plan to work through the process of generating comprehensive metadata from the raw model simulation output. How metadata generation fits into research workflow and data management will also be considered.

Learn about advanced Galaxy workflow features (3 March), about processing thousands of datasets simultaneously (10 March), about Jupyter Notebooks and RStudio in combination with Galaxy workflows (17 March) and on how to speed up your data analysis with Galaxy e.g. learn about features no one knows about (24 March).

In February 2021, a global 5-day Galaxy Training event showcasing a wide variety of GTN (Galaxy Training Network) tutorials is organized. This will be an online event, spanning all time zones. All training sessions are pre-recorded, so you can work through them at your own pace, and manage your own time. A large community of GTN trainers will be available via online support to answer all your questions. The CTSM-FATES (Functionally Assembled Terrestrial Ecosystem Simulator) is offerd on day-5 “Choose your own adventure”.

The 3rd and final PHIDIAS Webinar of the series, this time dedicated to Use Case 2: Big Data Earth Observations (EO). “Bridging the gap to facilitate selection and image analysis activities for land surface monitoring” is taking place next 18th of February at 15:00 CET.

The aim of this course is to familiarize the workshop participants with best practices and tools in modern research software development. The main focus is on professional tools for efficiently developing and maintaining research software. Since most research code is developed in a collaborative setting, we will discuss tools and workflows which facilitate this process. Most of the content is also relevant to a single developer.

Learn how to compose and execute repeatable and reproducible modelling workflow with FATES for improving climate models.

The course will run over six weeks (36hrs, equivalent to 5 days) and will provide the much needed foundational skills for competent data stewards and data managers in the Nordic countries with knowledge of the FAIR principles and their application.

The goal of the GPU Hackathon is for current or prospective user groups of large-scale, GPU-accelerated systems to port their applications to GPU accelerators or to further optimize already ported applications. Participating teams should leave the event either with applications running on GPUs or a clear roadmap of next steps to leverage GPUs.

This course is an introduction to GPU programming using the directive based OpenACC paradigm. The course consists of lectures and hands-on exercises. Topics covered in the course include basic usage of OpenACC, how to control data movement between CPUs and GPUs, and some more advanced issues related to profiling and interoperability with e.g. MPI.

The aim of this course is to familiarize the workshop participants with best practices and tools in modern research software development. The main focus is on professional tools for efficiently developing and maintaining research software. Since most research code is developed in a collaborative setting, we will discuss tools and workflows which facilitate this process. Most of the content is also relevant to a single developer.

Learn in 30 minutes how to understand and improve the performance of your parallel applications using the POP Methodology HPC applications are often very complex and their behavior depends on a wide range of factors from algorithms, to programming models, library and language implementations and hardware.

The FAIR guiding principles state that published research objects should be made Findable, Accessible, Interoperable, and Reusable for other researchers. Data repositories provide research dissemination following FAIR principles while also developing standards and tools to facilitate them. However, increased use of advanced research methods, such as virtual containers, supercomputers and GPUs, is introducing new challenges for research sharing. There is no standardized way of describing and disseminating such research outputs in data repositories. Furthermore, dissemination of data within virtual containers like Docker may hinder some of the commonly supported principles, such as findability and accessibility.

The concept of Open Science is mostly focused around Open Data and Open Access for published material, with Open Software usually left in the shadow. But in order to ensure transparent and reproducible science, it is essential that also software used in research be adequately documented, curated, preserved and made as FAIR and open as possible! RDA Sweden and EOSC Nordic have undertaken a pilot project to map out current thinking on Open Software and its implications. In this webinar, we will present the outcomes of the project and discuss an upcoming survey on Nordic and Baltic scientists’ and stakeholders’ attitudes towards FAIR och Open Software.

An introductory course on how to run, diagnose and contribute to NorESM

BCC2020 brings together the Galaxy Community Conference and Bioinformatics Open Source Conference to meet jointly online.

Training on accessing and analyzing climate data in Galaxy. During this session you will understand how to use climate data for developing a simple adaptation case study using Galaxy Climate workbench.

After a highly successful 2019 edition, EUDAT is ready to host the next summer School from 13-17 July 2020 in Kajaani, Finland.

This workshop will focus on the regional reanalysis (RRA) for Europe, which is produced as part of the Copernicus Climate Change Service.

The aim of this course is to familiarize the workshop participants with best practices and tools in modern research software development. The main focus is on professional tools for efficiently developing and maintaining research software. Since most research code is developed in a collaborative setting, we will discuss tools and workflows which facilitate this process. Most of the content is also relevant to a single developer.

A workshop will be organised at FMI to present the current status of coupling regional atmosphere and ocean modelling systems and discuss our future plans.

The course will provide an overview of the ECMWF NWP model while giving hands-on sessions to give you confidence to carry out your own experimentation with the OpenIFS model (or IFS). Get more information and register here.

Register, attend the first webinar and join the Regional Learning Path Norway/Sweden.

           

Advancing research through machine learning: an applied coding workshop.

This is a 3-day CodeRefinery workshop. Register here.

Online participation available

Learn to create containerised versions of Earth system models (e.g. COSMO, ICON, Nemo, OpenIFS, EC-Earth).

Online participation

This is a 3-day CodeRefinery workshop. Register here.

This is a 3-day CodeRefinery workshop. Register here.

Welcome to the second Nordic course on “FAIR data stewardship”. This course is organised and subsidised jointly by the Danish National Forum for Research Data Management and NeIC.

Get more information and register here.

The 3rd course “Climate science at high latitudes: eScience for linking Arctic measurements and modeling” will be held at Abisko Scientific Research Station from 15th until 24th of October 2019.

3 day training event funded by PRACE and organized at CSC.

Please be invited to participate, or suggest participation of a colleague (in particular at PhD or postdoc level) to the NorESM user workshop, organised by the INES infrastructure project, actually on a date preceding the INES and KeyCLIM project meetings.

Everybody talks about open science. But what does it mean exactly?

GCC2019 will be held in Freiburg, Germany, 1-6 July. Like previous Galaxy Community Conferences, GCC2019 will feature invited keynotes, accepted talks, posters, and demos, birds-of-a-feather gatherings, multiple days of collaborative work, and plenty of opportunities to network with your fellow data-intensive researchers and practitioners.

This is a 3-day CodeRefinery workshop.

It is a free one day workshop to learn how to use Climate data. No prior knowledge on Climate is required. Basic knowledge of either R or Python is an advantage.

This is a 3-day CodeRefinery workshop.

This is a 3-day CodeRefinery workshop.

This is a 3-day CodeRefinery workshop.

The NeIC conferences are organised biannually bringing together around 230 experts, researchers, policy makers, funders and national eInfrastructure providers from the Nordics and beyond. The aim is to create an opportunity for people in the eInfrastructure field to connect and collaborate with colleagues across the Nordics and to enable them to share knowledge and expertise. The title for this year’s event is ‘Nordic Infrastructure for Open Science’.

Nordic Earth System Modeling Hub is a hub for sharing knowledge and resources to study the Earth’s climate in the Nordic countries (Denmark, Finland, Sweden, Iceland, Estonia, Norway).

The [ELIXIR Galaxy Community](https://elixir-europe.org/communities/galaxy) organized a 4-days workshop at Roscoff (France) related to Galaxy tool integration and training. [link_AnneFouilloux]: https://github.com/annefou [link_BereniceBatut]: http://bebatut.fr/ [link_BjornGruning]: https://github.com/bgruening

The ELIXIR Galaxy Community organized a 4-days workshop at Roscoff (France) related to Galaxy tool integration and training.

It is a 5-day workshop given for DEEP: Norwegian Research School for Dynamics and Evolution of Earth and Planets. Lesson material is based on Carpentry lesson on Programming with Python and CodeRefinery lesson material. Additional episodes have been added to cover specific needs of the Dynamics and Evolution of Earth and Planets community.

This is a 3-day workshop.

This is a self-organized 1-day workshop based on CodeRefinery lesson material.