Analysis of shared research data in Spanish scientific papers about COVID‐19: A first approach.

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Title: Analysis of shared research data in Spanish scientific papers about COVID‐19: A first approach.
Authors: Cerda‐Cosme, Roxana1, Méndez, Eva2 emendez@bib.uc3m.es
Source: Journal of the Association for Information Science & Technology. Apr2023, Vol. 74 Issue 4, p402-414. 13p. 6 Charts, 4 Graphs.
Subjects: Publishing, COVID-19, Research methodology, Qualitative research, Descriptive statistics, Medical research
Geographic Terms: Spain
Abstract: During the coronavirus pandemic, changes in the way science is done and shared occurred, which motivates meta‐research to help understand science communication in crises and improve its effectiveness. The objective is to study how many Spanish scientific papers on COVID‐19 published during 2020 share their research data. Qualitative and descriptive study applying nine attributes: (a) availability, (b) accessibility, (c) format, (d) licensing, (e) linkage, (f) funding, (g) editorial policy, (h) content, and (i) statistics. We analyzed 1,340 papers, 1,173 (87.5%) did not have research data. A total of 12.5% share their research data of which 2.1% share their data in repositories, 5% share their data through a simple request, 0.2% do not have permission to share their data, and 5.2% share their data as supplementary material. There is a small percentage that shares their research data; however, it demonstrates the researchers' poor knowledge on how to properly share their research data and their lack of knowledge on what is research data. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell 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.)
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  Data: Analysis of shared research data in Spanish scientific papers about COVID‐19: A first approach.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Association+for+Information+Science+%26+Technology%22">Journal of the Association for Information Science & Technology</searchLink>. Apr2023, Vol. 74 Issue 4, p402-414. 13p. 6 Charts, 4 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Publishing%22">Publishing</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Qualitative+research%22">Qualitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+research%22">Medical research</searchLink>
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  Label: Abstract
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  Data: During the coronavirus pandemic, changes in the way science is done and shared occurred, which motivates meta‐research to help understand science communication in crises and improve its effectiveness. The objective is to study how many Spanish scientific papers on COVID‐19 published during 2020 share their research data. Qualitative and descriptive study applying nine attributes: (a) availability, (b) accessibility, (c) format, (d) licensing, (e) linkage, (f) funding, (g) editorial policy, (h) content, and (i) statistics. We analyzed 1,340 papers, 1,173 (87.5%) did not have research data. A total of 12.5% share their research data of which 2.1% share their data in repositories, 5% share their data through a simple request, 0.2% do not have permission to share their data, and 5.2% share their data as supplementary material. There is a small percentage that shares their research data; however, it demonstrates the researchers' poor knowledge on how to properly share their research data and their lack of knowledge on what is research data. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell 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.)
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      – Type: doi
        Value: 10.1002/asi.24716
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 402
    Subjects:
      – SubjectFull: Publishing
        Type: general
      – SubjectFull: COVID-19
        Type: general
      – SubjectFull: Research methodology
        Type: general
      – SubjectFull: Qualitative research
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Medical research
        Type: general
      – SubjectFull: Spain
        Type: general
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      – TitleFull: Analysis of shared research data in Spanish scientific papers about COVID‐19: A first approach.
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            NameFull: Cerda‐Cosme, Roxana
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            NameFull: Méndez, Eva
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            – D: 01
              M: 04
              Text: Apr2023
              Type: published
              Y: 2023
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