Row 225 · m225-datasheets-for-datasetsCore

Datasheets for datasets

Proposed Additional Source CategoriesAcademictopic page

Assessment outcome

total 5/6 (actionability 1 + authority 2 + currency 2)

Total5/6

Actionability1/2

Authority2/2

Currency2/2

Eligibility gates

G1 · Retrievablepass

HTTP 200, 676 words of full text extracted

G2 · AI nexuspass

The paper focuses primarily on machine learning datasets and documentation standards.

G3 · Governance nexuspass

Addresses governance angles like transparency and accountability for datasets.

G4 · Attributablepass

Named authors are explicitly provided on the page.

G5 · In forcepass

No notice of repeal or withdrawal is present on the page.

Scored criteria

Actionability

1/2

Level 1: Provides principles and direction for documenting datasets, but does not enforce binding compliance steps.

we propose that every dataset be accompanied with a datasheet that documents its motivation, composition, collection process, recommended uses, and so on.

Authority

2/2

Level 2: Peer-reviewed article published in Communications of the ACM (CACM).

Published in CACM in December, 2021

Currency

2/2

computed: newest date 2026-08-11 (via http-header), ~0.0y old; within the 60-month academic_research window for perspective 'Academic' → 2

Classification

Coverage topicDatasheets for datasets

PerspectiveAcademic

Lifecycle stage2 Collect & process data

Layermodel

Trackgeneral

Granularitytopic page