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Data visualisation (theory) - 12.03.2026 - Registration OPEN

Researchers often face overwhelming raw data, making it crucial to utilize data visualization effectively. This skill transforms complex datasets into clear, insightful narratives, avoiding the pitfalls of misinterpretation through poor design. In this course, we’ll explore optimal chart types for different data, engage in interactive exercises, and discuss best practices, all illustrated with practical examples.

NB! This is a theoretical interactive course with many examples and tips, group work and discussion. There is no hands-on chart creation.

RStudio for beginners - 05.03.2026

R is a free software environment for statistical computing and graphics. It compiles and runs on various UNIX platforms, Windows and MacOS.

RStudio is an essential tool for anyone involved in R programming. It plays a vital role in data analysis by facilitating data import, access, transformation, exploration, visualization, and modeling tasks. If you’re embarking on your journey to learn R, now is the perfect moment to familiarize yourself with RStudio. Discover what RStudio is, how to install it, and begin harnessing its capabilities to enhance your data analysis and programming skills.

CodeRefinery workshop for reproducible research code - March 17-19 and 24-26, 2026 - Registration OPEN

Are you writing code for your research? Do you struggle to reproduce results of your own or others computations?

Join the online CodeRefinery workshop on six half days, March 17-19 and 24-26, 2026, 10 - 15 CET.

The CodeRefinery workshop aims to support researchers of all domains, levels and preferred programming languages to write more reproducible research code. The workshop is held online (streamed on Twitch) with interactive hands-on sessions during the first week.

ELIXIR Estonia’s July to December 2025 Highlights

In the second half of 2025, ELIXIR Estonia continued to deepen its collaborations in research data management, both within Estonia and across Europe, while also expanding staff involvement in training activities and knowledge-sharing initiatives. Throughout the period, we placed a stronger focus on data management by participating in and organising events in partnership. A standout moment was co-organising a Nordic Computational Biology Week Conference, an experience that will help us take on larger events in the future. Alongside these activities, our team contributed three new publications, reflecting our ongoing commitment to advancing research and supporting the broader scientific community.

Crash Course in Data Management - 19.02.2026

Data management is an essential part of scientific research and is crucial for maximizing the value of data. Crash course in Data Management is an introductory course that equips researchers with the necessary skills for effective organization and management of research data. Participants will gain knowledge of best practices in data documentation, backup, and sharing. We will go through exercises and assignments to reinforce new knowledge.