Social scientists' satisfaction with data reuse.
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| Title: | Social scientists' satisfaction with data reuse. |
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| 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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| 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] |
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| ISSN: | 23301635 |
| DOI: | 10.1002/asi.23480 |
