Metadata
Interdisciplinary / Other Graduate Apply Easy
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Metadata

  • Subject

    Interdisciplinary / Other

  • Education level

    Graduate

  • Cognitive goals

    Apply

  • Difficulty estimate

    Easy

  • Tags

    FAIR, metadata, data stewardship, interdisciplinary research, evaluation, research data

  • 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 students' ability to apply the FAIR data principles (Findable, Accessible, Interoperable, Reusable) to evaluate and improve dataset metadata in interdisciplinary research—identify common gaps (persistent identifiers, licensing, vocabularies, provenance, machine-readable formats) and propose actionable fixes to enhance reuse.
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Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.