Metadata
Interdisciplinary / Other Graduate Apply Easy- 
        
Subject
Interdisciplinary / Other
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Education level
Graduate
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Cognitive goals
Apply
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Difficulty estimate
Easy
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Tags
FAIR, data sharing, metadata, repositories, licensing, data management
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Number of questions
5
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Created on
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Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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Prompt
Assess ability to apply the FAIR principles (Findable, Accessible, Interoperable, Reusable) to prepare a small research dataset for sharing by selecting appropriate metadata elements and standards, choosing open and machine-readable file formats, assigning persistent identifiers, specifying licensing and access controls, documenting provenance and a README, and applying basic anonymization; learners should make practical choices and provide brief justifications for each decision. 
Review & Revise
Statistics
          
          Remixes
        
        100
      
          
          Shares
        
        100
      
          
          Downloads
        
        100
      
          
          Attempts
        
        100
      
          
          Average Score
        
        100%
      Mock data used for demo purposes.