Uniwersytet Śląski w Katowicach

Form and place of training: Online training, via MS TEAMS

duration of the webinar: 9:00 – 12:00 CET

Training participants: university staff, academic, non-academic staff

Thematic category: webinar, training

Training content:

Academic and non-academic staff  are invited to participate in the LETSGROW online training “Data Stewardship and Research Data Management”, which will take place on October 19, 9.00-12.00 CET. The training will be delivered by lecturer Natalia  Galica (University of Silesia in Katowice). The training is intended for universities academic, researchers and non academic staff. The training will be held in English, via MS TEAMS, the link will be provided to registered participants 2–3 days before the event.

The training will provide participants with a comprehensive introduction to Open Science and Research Data Management in the European research landscape. It will combine key concepts with practical guidance on managing, sharing, preserving, and publishing research data in line with legal and ethical reqiurement, FAIR and CARE principles, and good data stewardship practices.

Participants will learn about trusted research data repositories, Data Management Plans (DMP), and the role of data stewards in supporting effective and responsible research data management throughout the research lifecycle. The webinar will also introduce the European Open Science Cloud (EOSC) as the European data space for science, highlighting its role in enabling access to research data, services, tools, and infrastructures across Europe. The programme will follow Central European Time (CET). Participants can convert the schedule to their local time here.

Lecturer:

Natalia Galica – research and teaching assistant at the University of Silesia in Katowice and a member of Open Science Team at the National Science Centre Poland (NCN), where she contributes to RDM training activities and development of the EOSC Poland National Node. Her European-level work includes EOSC Gravity, where, as a task leader, she supports national stakeholder engagement and contributes to the EOSC Academy. Previously, within the EOSC Focus project, she worked on regional stakeholder engagement and cooperation with Widening Countries. From 2023 to 2025, Natalia served on an advisory team supporting the Polish Minister of Science in shaping national policy on open research data. Natalia is a Board Member of the GO FAIR Foundation (GFF). She coordinates the Data Steward School and serves as a tutor at the Data Steward Academy at the AGH University.

Natalia holds master’s degrees from the University of Silesia and University College Dublin and was a scholarship recipient at Anglia Ruskin University in Cambridge, UK. She is a co-author of the European Commission-funded Open Science Guide: Research Data Management & FAIR Training Framework for Research Performing Organisations.

• Definition, scope, and taxonomy of Open Science
• Legal and politica perspectives on Open Science in the European Union
• The European Open Science landscape: Open Data, Open Access publications, and Open Research Infrastructures
• The European Open Science Cloud (EOSC): new digital opportunities for research and collaboration in Europe
• The role of EOSC in supporting access to research data, services, tools, and infrastructures

Practical assignment: Exploring the EOSC EU Node and its available services and resources.

Module II: Research Data Management: Skills for Digital Science

• The research data lifecycle and the principles of Research Data Management
• Data Management Plans (DMPs) as practical tools for managing research data
• Research data: definitions, types, and formats
• Metadata and its role in data discovery, accessibility, and reuse
• Persistent Identifiers (PIDs)
• Data licensing and data sharing
• Data storage and secure data management
• Data archiving and long-term preservation
• Data publishing and making research data reusable
• FAIR and CARE data principles
• “As open as possible, as closed as necessary” – balancing openness with data protection, security, and data sovereignty
• Research data repositories: definitions, types, and selection criteria

Practical assignment: How to select an appropriate repository?

Module III: Research Data Management and Data Stewardship

• What is data stewardship and why is it important for research integrity?
• Who is a Data Steward? Roles, responsibilities, and competencies
• Data stewardship within universities and research institutions: collaboration between researchers, Data Stewards, research support services, and institutional infrastructure providers

Q&A Session

For additional questions, please contact the University of Silesia in Katowice training manager Jacek Nowak, jacek.nowak@us.edu.pl or VMU training manager Gintarė Juralevičienė gintare.juraleviciene@vdu.lt.