This course is held in the Czech language.

Annotation: The course introduces the principles of research data management, storage, and long-term preservation of digital research data. It focuses on the creation and implementation of Data Management Plans (DMPs), metadata standards, licensing policies, copyright issues, and data security. Participants will gain an overview of best practices related to the FAIR principles, open science, and practical workflows for the efficient sharing and dissemination of data across research infrastructures.

Benefits for participants: Participants will acquire practical and applicable competencies in research data management and data sharing in line with current European standards. They will learn how to develop a high-quality Data Management Plan, navigate the FAIR principles, work effectively with metadata, and select appropriate licences, including addressing copyright-related issues. The course will enable participants to streamline their data workflows, increase the visibility and citability of their data, and ensure its secure and long-term preservation. As a result, they will be better equipped to meet institutional and funding requirements and to strengthen the transparency and reproducibility of their research.

Level: beginner

Language: Czech

Prerequisites: Participants should have

• basic experience with research activities and an understanding of their own data processes (data collection, analysis, storage);
• the ability to work with digital data files in common formats (textual data, tables, multimedia);
• a basic understanding of scholarly communication (citation practices, publishing, copyright);
• a willingness to adopt standardised approaches to data management and sharing (FAIR principles, DMPs);
• (optional but beneficial) experience with grant-funded projects that require data storage or data sharing.

Tutor: Mgr. Ondřej Fúsik