Social scientists' satisfaction with data reuse.
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| Title: | Social scientists' satisfaction with data reuse. |
|---|---|
| Authors: | Faniel, Ixchel M.1 fanieli@oclc.org, Kriesberg, Adam2 akriesbe@umich.edu, Yakel, Elizabeth2 yakel@umich.edu |
| Source: | Journal of the Association for Information Science & Technology. Jun2016, Vol. 67 Issue 6, p1404-1416. 13p. 4 Charts. |
| Subjects: | Conceptual structures, Database management, Discriminant analysis, Experimental design, Research methodology, Research funding, Satisfaction, Scientists, Surveys, Trust, Multiple regression analysis, Access to information, Periodical articles, Impact factor (Citation analysis) |
| Abstract: | Much of the recent research on digital data repositories has focused on assessing either the trustworthiness of the repository or quantifying the frequency of data reuse. Satisfaction with the data reuse experience, however, has not been widely studied. Drawing from the information systems and information science literature, we developed a model to examine the relationship between data quality and data reusers' satisfaction. Based on a survey of 1,480 journal article authors who cited Inter- University Consortium for Political and Social Research ( ICPSR) data in published papers from 2008-2012, we found several data quality attributes-completeness, accessibility, ease of operation, and credibility-had significant positive associations with data reusers' satisfaction. There was also a significant positive relationship between documentation quality and data reusers' satisfaction. [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.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 115197701 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Social scientists' satisfaction with data reuse. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Faniel%2C+Ixchel+M%2E%22">Faniel, Ixchel M.</searchLink><relatesTo>1</relatesTo><i> fanieli@oclc.org</i><br /><searchLink fieldCode="AR" term="%22Kriesberg%2C+Adam%22">Kriesberg, Adam</searchLink><relatesTo>2</relatesTo><i> akriesbe@umich.edu</i><br /><searchLink fieldCode="AR" term="%22Yakel%2C+Elizabeth%22">Yakel, Elizabeth</searchLink><relatesTo>2</relatesTo><i> yakel@umich.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Association+for+Information+Science+%26+Technology%22">Journal of the Association for Information Science & Technology</searchLink>. Jun2016, Vol. 67 Issue 6, p1404-1416. 13p. 4 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Conceptual+structures%22">Conceptual structures</searchLink><br /><searchLink fieldCode="DE" term="%22Database+management%22">Database management</searchLink><br /><searchLink fieldCode="DE" term="%22Discriminant+analysis%22">Discriminant analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Satisfaction%22">Satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Scientists%22">Scientists</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Trust%22">Trust</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Access+to+information%22">Access to information</searchLink><br /><searchLink fieldCode="DE" term="%22Periodical+articles%22">Periodical articles</searchLink><br /><searchLink fieldCode="DE" term="%22Impact+factor+%28Citation+analysis%29%22">Impact factor (Citation analysis)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Much of the recent research on digital data repositories has focused on assessing either the trustworthiness of the repository or quantifying the frequency of data reuse. Satisfaction with the data reuse experience, however, has not been widely studied. Drawing from the information systems and information science literature, we developed a model to examine the relationship between data quality and data reusers' satisfaction. Based on a survey of 1,480 journal article authors who cited Inter- University Consortium for Political and Social Research ( ICPSR) data in published papers from 2008-2012, we found several data quality attributes-completeness, accessibility, ease of operation, and credibility-had significant positive associations with data reusers' satisfaction. There was also a significant positive relationship between documentation quality and data reusers' satisfaction. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=115197701 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/asi.23480 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1404 Subjects: – SubjectFull: Conceptual structures Type: general – SubjectFull: Database management Type: general – SubjectFull: Discriminant analysis Type: general – SubjectFull: Experimental design Type: general – SubjectFull: Research methodology Type: general – SubjectFull: Research funding Type: general – SubjectFull: Satisfaction Type: general – SubjectFull: Scientists Type: general – SubjectFull: Surveys Type: general – SubjectFull: Trust Type: general – SubjectFull: Multiple regression analysis Type: general – SubjectFull: Access to information Type: general – SubjectFull: Periodical articles Type: general – SubjectFull: Impact factor (Citation analysis) Type: general Titles: – TitleFull: Social scientists' satisfaction with data reuse. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Faniel, Ixchel M. – PersonEntity: Name: NameFull: Kriesberg, Adam – PersonEntity: Name: NameFull: Yakel, Elizabeth IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 23301635 Numbering: – Type: volume Value: 67 – Type: issue Value: 6 Titles: – TitleFull: Journal of the Association for Information Science & Technology Type: main |
| ResultId | 1 |
