Public Attitudes Toward Data Sharing by Federal Agencies
Bibliographic Data
| ID | 12233102 |
|---|---|
| Authors | E Singer (Institute for Social Research, corresponding author), Nora Cate Schaeffer (0000-0001-9837-3603, University of Wisconsin–Madison), Trivellore E Raghunathan (0000-0002-3054-9833, Xi'an Railway Survey and Design Institute), T Raghunathan |
| Year | 1997 |
| Volume | 9 |
| Issue | 3 |
| Pages | 277-285 |
| Publication date | 1997-09-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Public Opinion Research (JOURNAL) |
| Journal identifiers | ISSN: 0954-2892 • E-ISSN: 1471-6909 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/ijpor/9.3.277 |
| OpenAlex | W2315603677 |
| Language | EN |
| Citations received | 3 |
Very little information exists concerning public attitudes on the topic of data sharing among Federal agencies. The most extensive information prior to 1995 comes from questions on several IRS surveys of taxpayers, from questions added to a series of Wisconsin surveys carried out in 1993-95, and from scattered other surveys reviewed by Blair (1995) for the National Academy of Sciences panels. From this review it is clear that the public is not well informed about what data sharing actually entails, nor about the meaning of confidentiality. It seems likely that opinions on this topic are not firmly held and liable to change depending on other information stipulated in the survey questions as well as on other features of the current social climate. In the spring of 1995, the Survey Research Center at the University of Maryland (JPSM) carried out a random digit dialing (RDD) national survey which was focused on the issue of data sharing. The Maryland survey asked questions designed to probe the public's understanding of the Census Bureau's pledge of confidentiality and their confidence in that pledge. Respondents were also asked how they felt about the Census Bureau's obtaining some information from other government agencies in order to improve the decennial count, reduce burden, and reduce cost. In addition
Data sharing · Political science · Public relations · Data Quality and Management · Medicine · Privacy-Preserving Technologies in Data · Privacy, Security, and Data Protection · Public Administration
| Citations per year | 0.12 |
|---|---|
| Citation span | 2000 - 2019 (20) |
| Highly cited | No |