Metadata
Interdisciplinary / Other Graduate Apply Easy
Metadata
  • Subject

    Interdisciplinary / Other

  • Education level

    Graduate

  • Cognitive goals

    Apply

  • Difficulty estimate

    Easy

  • Tags

    FAIR, data sharing, metadata, repositories, licensing, data management

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • 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.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.