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VERSION:2.0
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CALSCALE:GREGORIAN
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DTSTAMP:20260812T045408Z
UID:fb583a5e-6dc2-42f0-b2c3-7a6710e2cb92
DTSTART:20260526T160000Z
DTEND:20260604T173000Z
DESCRIPTION:This 4 session training course “Training on FAIR Principles i
 n Data Management” is tailored for Kyiv School of Economics\, the Ukrain
 ian partner in the BRIDGE twinning project that is being implemented toget
 her with University of Tartu. Covering basic data management best practice
 s and trickiest aspects of handling data with a focus on social sciences.\
 n\n\n- 26 May (Tue)\, 17:00-18:30 - Organise your data \n  - Topics covere
 d: folder structures\, file naming\, metadata standards\n  - Task: finding
  relevant metadata standards\, critical evaluation of folder structure\n\n
 - 28 May (Thu)\, 17:00-18:30 - Privacy fundamentals \n  - Topics covered: 
 GDPR\, data minimisation\, resources for your field\, anonymisation vs pse
 udonymisation\, anonymisation tools\n  - Demonstration of tool(s)\n\n- 02 
 June (Tue)\, 17:00-18:30 - Managing Data Over Time \n  - Topics covered: v
 ersioning\, open formats\, storage\, backup\, data catalogues\, provenance
 \, lineage\, tools\n  - Polls and discussion\n\n- 04 June (Thu)\, 17:00-18
 :30 - FAIR in practice\n  - Topics covered: PID\, data access statements\,
  licenses\, finding repositories\, FAIR tools\, README\, data dictionary\n
   - Task: Writing data dictionary\, writing README\, licences
SUMMARY:Training on FAIR Principles in Data Management
URL;VALUE=URI:https://elixir.ut.ee/news/2026/08/10/FAIR_principles_data_Man
 agement_BRIDGE/
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