Annotation
EOSC CZ invites you to four training sessions designed for employees of the Institute of Physics of the Czech Academy of Sciences, focusing on scientific data management and sharing, working with GitHub, and licensing. The events will take place on November 13 and 28, 2025 in Prague: Na Slovance. Please register in advance, as capacity is limited.
Legal aspects of using datasets
The digital economy and the development of artificial intelligence are leading to a dramatic increase in the importance of data and datasets. However, their use is associated with a number of legal issues. The course will provide participants with a practical overview of the legal regulation of datasets and will focus in particular on the possibilities of their licensing and legal use in practice.
Introduction to FAIR data
We will introduce the research data lifecycle in the broader context of Open Science and the contemporary requirements of research funders for working with data. We will also present the FAIR principles and the implementation tools, including persistent identifiers. Finally, we will demonstrate data storage and sharing possibilities in academic institutions and the Czech e-infrastructure.
Introduction to Version Control with Git & GitHub
Tired of losing track of different document versions? Struggling to organise your research files and collaborate efficiently? There’s a better way – learn Git & GitHub! In this fast-paced, hands-on workshop you’ll discover why version control is essential for open, reproducible research, then go from first install to your first pull request. We’ll cover setting up Git, initialising and cloning repositories, tracking and reviewing changes, branching and merging. Through realistic research exercises you’ll practise safeguarding your work, avoiding conflicts and maintaining a clean, auditable project history. Designed for students and researchers with no prior experience, you’ll leave with a working toolkit—and the confidence to manage projects, share code and data, and collaborate without the chaos.
An Introduction to Effective Data Management Planning
The workshop introduces the concept of data management planning as an important process of managing data. The workshop also discusses data management plans (DMPs), which document the process of data management planning, and will showcase the Data Stewardship Wizard (DSW) as a useful tool for writing DMPs, which will also include practical exercises for the attendees to complete. Importantly, data management planning entails the processes and strategies for creating, handling, storing, sharing, and preserving data; therefore, data management planning is an activity which helps researchers formalize and improve the steps they are already taking in their research. In other words, proper data management planning can lead to improved research efficiency and a higher impact of research data, and a DMP is a guide that helps document this process.
Language
English
Tutors
Jan Bárta
Jan deals comprehensively with IT law, commercial law and intellectual property law. He has extensive experience in advising hundreds of corporate clients both in terms of specific legal solutions and strategic advice. From promising start-ups to multinational entities. He often lectures at conferences, universities, at the Czech Bar Association (seminar for attorneys Software Development and Management) and trainings for clients, especially on topics such as GDPR, practical application of law in IT business and many others.
Michal Růžička
Michal Růžička is a specialist in FAIR data from CERIT-SC of the Institute of Computer Science MU for Masaryk University. He is also the leader of the Core Services Working Group for implementing the European Open Science Cloud (EOSC) in the Czech Republic. He focuses on comprehensive support for work with research data from planning to publication, including work with sensitive data, especially in the life sciences.
Ondřej Mottl
Ondřej Mottl leads the Laboratory of Quantitative Ecology at Charles University in Prague, Czech Republic. His research encompasses quantitative ecology, macroecology, palaeoecology, and community ecology, with a strong emphasis on data science. Ondřej's current projects involve developing advanced tools for analysing global biodiversity patterns and addressing challenges in scientific exploration. In addition to his research, he is dedicated to teaching and mentoring, aiming to inspire and guide the next generation of ecologists and data scientists. As the Open Science Champion at Charles University, Ondřej advocates for scientific reproducibility, reflecting his commitment to open and collaborative science.
Antonín Zita
Antonín Zita works as a DMP specialist in the National Repository Platform project. He focuses on supporting researchers with their data management planning and writing their data management plans (DMPs), but also on training others how to use DMP tools such as Data Stewardship Wizard (DSW). Besides the above, he is also one of the European Open Science Cloud (EOSC) CZ secretaries.
