Stuck with your data, code, a tool or a training material? Not sure where to start with R or Python, bioinformatics analysis, data management or FAIR data? Bring your questions to our coffee morning.
Every other Tuesday, 9:30–10:30 (EET/EEST) timed to fit between lectures
Sessions alternate between in-person sessions in Tartu and online sessions.
Eesti keeles allpool
On 29 September from 11:00–17:30, the university library’s conference hall will host the competence day “Artificial intelligence at the university: skills, responsibility and critical choices”, to which the entire university community is warmly invited. The event is organised by the University of Tartu Centre for Teaching and Learning. After the lunch break, practical workshops will run in two sessions: ELIXIR Estonia will teach data visualisation with the help of artificial intelligence.
ELIXIR Estonia builds and maintains web tools and other resources for life science research. We also provide training and consultations in research data management. Our goal is to create solutions that last and stay useful for years to come.
We offer the following topics:
Estonia and the Czech Republic work well together at every level; as ELIXIR Nodes, as universities and as countries, and this year has shown all three. This week, it was our turn to host: after two springs of Estonian trainers teaching in Prague, ELIXIR-CZ trainers came to Tartu.
Estonia is one of Europe’s most digitally advanced countries. From X-Road to nationally coordinated digital services, we have built an ecosystem that makes sharing and using information remarkably efficient. But strong digital infrastructure alone does not create strong research data management.
As research becomes increasingly collaborative and data-intensive, researchers need more than technology - they need clear guidance, institutional support, professional expertise, and communities that help them manage data throughout its lifecycle. That is exactly what ELEVATE-DM aims to strengthen.
This 4 session training course “Training on FAIR Principles in Data Management” is tailored for Kyiv School of Economics, the Ukrainian partner in the BRIDGE twinning project that is being implemented together with University of Tartu. Covering basic data management best practices and trickiest aspects of handling data with a focus on social sciences.
ELIXIR-Estonia will provide a bioinformatics course that will cover an overview of basic R, statistics, graphical visualization, data management and sharing.
This free course is a collaboration between ELIXIR Estonia and ELIXIR Czech Republic. Single-cell RNA sequencing (scRNA-seq) allows researchers to study gene expression at the level of individual cells. This approach can, for example, help to identify different cell populations in a complex sample and describe their expression patterns. To generate and analyse scRNA-seq data, several methods are available, all with their strengths and weaknesses depending on the researchers’ needs. This 3-day course will cover the main technologies as well as the main aspects to consider while designing an scRNA-seq experiment. In particular, it will combine the theoretical background of analytical methods with hands-on data analysis sessions focused on data generated by droplet-based platforms.
Are you ready to unlock the potential of your data? This one-day workshop will introduce you to Exploratory Data Analysis (EDA)—an essential first step in any data analysis workflow.
Designed for graduate-level learners without a computational background, this course will equip you with the foundational skills to summarize, visualize, and interpret data effectively. With a hands-on, beginner-friendly approach, you’ll practice these skills using real-world datasets and leave with the confidence to explore data independently.
Before attending the course, please ensure you have installed on your laptop:
Andmehaldus projektijuhtidele on ülevaatlik töötuba, mis on suunatud projektijuhtidele. Kursus annab sissejuhatuse andmehalduse peamistesse teemadesse, keskendudes eelkõige isikuandmete käsitlemisele ja sellega seotud nõuetele.
Töötoas tutvustatakse, millised teemad kuuluvad andmehalduse valdkonda ning millist väärtust hea andmehaldus projektile loob. Eraldi käsitletakse andmehaldusplaani, selle sisu, eesmärki ja praktilist kasu projektijuhi vaatenurgast. Fookus on sellel, et projektijuht mõistaks andmehaldusplaani rolli ja kasu projektile.