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Gebru and colleagues: datasheets for datasets

Proposed standardized datasheets documenting a dataset's motivation, composition, collection process, recommended uses and other consequential properties.

What is recorded here?

Proposed standardized datasheets documenting a dataset's motivation, composition, collection process, recommended uses and other consequential properties.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The record is the exact seven-author work, first circulated in 2018 and published in Communications of the ACM in 2021. It does not treat documentation as proof of dataset quality or safety, or absorb model cards and later data-governance standards.

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People and systems

Timnit Gebru; Jamie Morgenstern; Briana Vecchione; Jennifer Wortman Vaughan; Hanna Wallach; Hal Daumé III; Kate Crawford

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

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English catalogue narrative

Gebru and colleagues: datasheets for datasets

Proposed standardized datasheets documenting a dataset's motivation, composition, collection process, recommended uses and other consequential properties.

Scientific scope

The record is the exact seven-author work, first circulated in 2018 and published in Communications of the ACM in 2021. It does not treat documentation as proof of dataset quality or safety, or absorb model cards and later data-governance standards.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Timnit Gebru; Jamie Morgenstern; Briana Vecchione; Jennifer Wortman Vaughan; Hanna Wallach; Hal Daumé III; Kate Crawford

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

Original sources