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Datasheets for Datasets.

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Title: Datasheets for Datasets.
Authors: GEBRU, TIMNIT1, MORGENSTERN, JAMIE2, VECCHIONE, BRIANA3, VAUGHAN, JENNIFER WORTMAN4, WALLACH, HANNA5, III, HAL DAUMÉ6,7, CRAWFORD, KATE8,9
Source: Communications of the ACM. Dec2021, Vol. 64 Issue 12, p86-92. 7p. 1 Color Photograph.
Subjects: Machine learning, Electronic data processing documentation, Acquisition of data, Motivation (Psychology), Standardization
Abstract: The authors discuss the use of datasheets for the collection and use of datasets in machine learning. They mention the need for datasheets by both data creators and data consumers, the kinds of questions that should be asked about the motivation, collection, and processing of the data, and the challenges in creating more standardized datasheets.
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 153715896
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
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  Data: Datasheets for Datasets.
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  Data: <searchLink fieldCode="AR" term="%22GEBRU%2C+TIMNIT%22">GEBRU, TIMNIT</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22MORGENSTERN%2C+JAMIE%22">MORGENSTERN, JAMIE</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22VECCHIONE%2C+BRIANA%22">VECCHIONE, BRIANA</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22VAUGHAN%2C+JENNIFER+WORTMAN%22">VAUGHAN, JENNIFER WORTMAN</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22WALLACH%2C+HANNA%22">WALLACH, HANNA</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22III%2C+HAL+DAUMÉ%22">III, HAL DAUMÉ</searchLink><relatesTo>6,7</relatesTo><br /><searchLink fieldCode="AR" term="%22CRAWFORD%2C+KATE%22">CRAWFORD, KATE</searchLink><relatesTo>8,9</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Communications+of+the+ACM%22">Communications of the ACM</searchLink>. Dec2021, Vol. 64 Issue 12, p86-92. 7p. 1 Color Photograph.
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  Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing+documentation%22">Electronic data processing documentation</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Motivation+%28Psychology%29%22">Motivation (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Standardization%22">Standardization</searchLink>
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  Data: The authors discuss the use of datasheets for the collection and use of datasets in machine learning. They mention the need for datasheets by both data creators and data consumers, the kinds of questions that should be asked about the motivation, collection, and processing of the data, and the challenges in creating more standardized datasheets.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=153715896
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1145/3458723
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      – Code: eng
        Text: English
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        PageCount: 7
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    Subjects:
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Electronic data processing documentation
        Type: general
      – SubjectFull: Acquisition of data
        Type: general
      – SubjectFull: Motivation (Psychology)
        Type: general
      – SubjectFull: Standardization
        Type: general
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      – TitleFull: Datasheets for Datasets.
        Type: main
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            NameFull: GEBRU, TIMNIT
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            NameFull: MORGENSTERN, JAMIE
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            NameFull: VECCHIONE, BRIANA
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            NameFull: VAUGHAN, JENNIFER WORTMAN
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            NameFull: WALLACH, HANNA
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            NameFull: III, HAL DAUMÉ
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            NameFull: CRAWFORD, KATE
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          Dates:
            – D: 01
              M: 12
              Text: Dec2021
              Type: published
              Y: 2021
          Identifiers:
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              Value: 00010782
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              Value: 64
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              Value: 12
          Titles:
            – TitleFull: Communications of the ACM
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