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.
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.
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.
g:Profiler, a popular gene list analysis tool, celebrates 18 years since its first publication in Nucleic Acids Research. What began as a student project has become a globally cited resource, with its 2019 update article now surpassing 5,000 citations — a testament to its lasting impact in life sciences.
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.
The 3D-BioInfo Community is concerned with improving the ontologies and validation tools for enabling better integration of the data and methods for analysing and predicting protein structures and their complexes. Part of this work is presented in an ongoing series of webinars
Date: Mon 20 Jan 2025 - 16:00 to Mon 20 Jan 2025 - 17:00 GMT
This 4 day school will guide across the various steps in Machine Learning, from the foundational concepts, through the deep learning and generative AI techniques, closely complemented by insights into the existing reporting (DOME Recommendations) and regulatory frameworks (EU AI Act).
Application deadline: 24.01.2025
Date: May 19th 2025 - May 23rd 2025
This 4 day school will guide across the various steps in Machine Learning, from the foundational concepts, through the deep learning and generative AI techniques, closely complemented by insights into the existing reporting (DOME Recommendations) and regulatory frameworks (EU AI Act).
Date: 20h February, 2025 - 09:00 a.m. to 12:00 p.m. CET
For biologists who are eager to perform functional annotation of a set of differentially expressed genes.
Application deadline: 14 February 2025
Date: 14 March 2025
This virtual course will show how public bioimaging data resources, centred around the BioImage Archive, enable and enhance machine learning based image analysis. The content will explore a variety of data types including electron and light microscopy and miscellaneous or multi-modal imaging data at the cell and tissue scale. Participants will cover contemporary biological image analysis with an emphasis on machine learning methods, as well as how to access and use images from databases.
Applications close: 19 January 2025
Date: 31 March - 04 April 2025