Training on FAIR Principles in Data Management

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.

  • 26 May (Tue), 17:00-18:30 - Organise your data
    • Topics covered: folder structures, file naming, metadata standards
    • Task: finding relevant metadata standards, critical evaluation of folder structure
  • 28 May (Thu), 17:00-18:30 - Privacy fundamentals
    • Topics covered: GDPR, data minimisation, resources for your field, anonymisation vs pseudonymisation, anonymisation tools
    • Demonstration of tool(s)
  • 02 June (Tue), 17:00-18:30 - Managing Data Over Time
    • Topics covered: versioning, open formats, storage, backup, data catalogues, provenance, lineage, tools
    • Polls and discussion
  • 04 June (Thu), 17:00-18:30 - FAIR in practice
    • Topics covered: PID, data access statements, licenses, finding repositories, FAIR tools, README, data dictionary
    • Task: Writing data dictionary, writing README, licences

General info

  • Time: 26.05.2026 17:00–18:30 (EEST)
  • Type: workshop
  • Language: English
  • Duration: 6 hours
  • Location: Zoom, link will be given a few days before the course.
  • Audience: Researcher with beginner level of knowledge about Data Management and FAIR principles
  • Lecturers: Diana Pilvar, Marko Arrak

Learning outcomes for the participants

  • Design consistent file naming conventions and hierarchical folder structures
  • Locate discipline-specific metadata standards
  • Critically evaluate existing data structures to identify gaps in documentation
  • Describe the primary daily responsibilities researchers have under GDPR
  • Explain the difference between pseudonymization and anonymization
  • Choose the most appropriate anonymization method (and software tool)
  • Describe data storage best practices
  • Compare different methods of version control
  • Explain what data catalogs and provenance are and how they are related to FAIR
  • Explain FAIR principles- Metadata relevance, Documentation
  • Apply FAIR principles in practice

Register

We ask you to register responsibly. If you can't attend the lecture, please let us know as soon as possible via email (elixir@ut.ee).

Register: Can attend only with an invite from Kyiv School of Economics

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