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