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> ML_STANDARD // DATASHEETS-FOR-DATASETS_v1.0

Datasheets for Datasets Standard (Gebru et al. / CACM)

Communications of the ACM (CACM) / Data Provenance Initiative · International Industry Best Practice · active

documentation-practiceInternational Industry Best Practiceactive
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Regulatory & Technical Framework Summary

Comprehensive questionnaire standardizing dataset documentation: motivation, composition, collection process, preprocessing, uses, distribution, and maintenance.

Key Compliance Requirements

  • Motivation: Why was the dataset created and who funded it?
  • Composition: What do the instances represent and does it contain confidential or PII data?
  • Collection Process: How was data acquired, sampled, and validated for bias?
  • Preprocessing & Cleaning: What transformations or tokenizations were performed?
  • Maintenance: Who maintains the dataset and how are updates and errata handled?

Applicable Sectors & Tasks

Affected Sectors:
technologyresearchgovernment
Affected Tasks:
data validation

TinyCTO provides regulatory summaries and technical engineering alignment for informational purposes only. This content does not constitute formal legal advice or regulatory compliance certification.