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2025

Licensing Research Outputs - 05.09.2025 - Registration OPEN

In scientific research, you work with many types of outputs, whether created by you or by others. How can you ensure that others give you proper credit when using your materials? And how can you know exactly what you are allowed to do with resources created by others? These questions fall under the scope of copyright law.

This lecture will explain what copyright laws do, who holds the rights to research materials, and how those rights affect their use. We will cover the role of licenses in protecting and sharing different types of outputs—such as figures, datasets, and software—and explain what each license permits. Finally, we will demonstrate how to choose and apply an appropriate license to your own research outputs.

Crash Course in Data Management - 28.08.2025 - Registration OPEN

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

RStudio for beginners - 01.09.2025 - Registration OPEN

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.

ELIXIR Estonia hosted the ELIXIR ELITMa module 2 and Interoperability Platform meeting in Tartu

ELIXIR ELITMa workshop

In May, the University of Tartu Institute of Computer Science and ELIXIR Estonia had the pleasure of hosting a productive ELIXIR Week, featuring both the ELITMa and a co-located Interoperability Platform workshop. From May 19th to 22nd, data management experts and colleagues from 11 ELIXIR Nodes across Europe gathered at the Institute of Computer Science to focus on key research data management and interoperability areas.

ELIXIR Estonia Contributes to the University of Tartu Data Management and Open Science Network

On May 14th, the University of Tartu’s Data Management and Open Science competence network held its second training session, organised by the University of Tartu Library. ELIXIR Estonia was proud to contribute to this initiative that supports the advancement of data management and open science across the university.

Bring your own DMP workshop - 8.05.2025. - CANCELLED

Join our workshop for practical guidance on Data Management Plans (DMPs). We’ll discuss relevant resources, the data life cycle, READMEs, GDPR considerations, and FAIR data sharing. The session incorporates 3-4 dedicated 30-minute writing blocks for you to actively draft your DMP. Our data steward will be present throughout to offer support and answer your questions.

Bring your own DMP workshop - 29.05.2025.

Join our workshop for practical guidance on Data Management Plans (DMPs). We’ll discuss relevant resources, the data life cycle, READMEs, GDPR considerations, and FAIR data sharing. The session incorporates 3-4 dedicated 30-minute writing blocks for you to actively draft your DMP. Our data steward will be present throughout to offer support and answer your questions.

Data visualisation (theory) - 20.03.2025

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, discuss best practices, and learn about the data-ink ratio and color selection, all illustrated with practical examples.

This course will be followed up by Tableau and Microsoft Power BI courses for beginners in April.