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COVID-19 data representation in business databases.

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Title: COVID-19 data representation in business databases.
Authors: Vaaler, Alyson1 (AUTHOR), Reiter, Lauren2 (AUTHOR)
Source: Journal of Business & Finance Librarianship. Oct-Dec2022, Vol. 27 Issue 4, p233-249. 17p. 2 Color Photographs, 1 Chart.
Subject Terms: Business databases, COVID-19
Abstract: The presence of COVID-19 data in business databases is reflected by some providers making changes in how they collect, organize, share, and maintain data. These changes have implications for those who rely on business information for their decision-making or research. In this study, the authors sought to provide an overarching summary of ways business data providers are presenting COVID-19 data. Findings include the features used in business databases to address the impact of COVID-19 and considerations for librarians who work with business data. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Business & Finance Librarianship is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: COVID-19 data representation in business databases.
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  Data: <searchLink fieldCode="AR" term="%22Vaaler%2C+Alyson%22">Vaaler, Alyson</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Reiter%2C+Lauren%22">Reiter, Lauren</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Business+%26+Finance+Librarianship%22">Journal of Business & Finance Librarianship</searchLink>. Oct-Dec2022, Vol. 27 Issue 4, p233-249. 17p. 2 Color Photographs, 1 Chart.
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  Data: <searchLink fieldCode="DE" term="%22Business+databases%22">Business databases</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink>
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  Data: The presence of COVID-19 data in business databases is reflected by some providers making changes in how they collect, organize, share, and maintain data. These changes have implications for those who rely on business information for their decision-making or research. In this study, the authors sought to provide an overarching summary of ways business data providers are presenting COVID-19 data. Findings include the features used in business databases to address the impact of COVID-19 and considerations for librarians who work with business data. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Journal of Business & Finance Librarianship is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=160967036
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      – Type: doi
        Value: 10.1080/08963568.2022.2129276
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 17
        StartPage: 233
    Subjects:
      – SubjectFull: Business databases
        Type: general
      – SubjectFull: COVID-19
        Type: general
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      – TitleFull: COVID-19 data representation in business databases.
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            NameFull: Vaaler, Alyson
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            NameFull: Reiter, Lauren
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          Dates:
            – D: 01
              M: 10
              Text: Oct-Dec2022
              Type: published
              Y: 2022
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