Xiao, Fanghui and Jeng, Wei and He, Daqing
(2018)
Investigating metadata adoptions for open government data portals in US cities.
In: 81st Annual Meeting of the Association for Information Science and Technology, 10-14 Nov 2018, Vancouver, CA.
Abstract
Open government data (OGD) is a valuable resource for both policy transparency and government accountability. All levels of the United States government are working hard to promote open data and its portals. However, there is still a lack of stud-ies on local-level OGD portals in the United States, particularly on the quality of metadata adopted by these portals. By ex-amining 200 US cities, a list of 112 local-level portals is sampled and we investigate the current usages of open data plat-forms for building local-level OGD portals. This study further investigates and discusses the adoption and potential issues of metadata on those OGD portals. Our result findings discuss the platform distributions among US local-level OGD portals, and also highlight several critical issues associated with metadata on the portals. We anticipate the results will inspire further studies on identifying solutions to improve the metadata and enhance the usability of open government data portals
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Details
Item Type: |
Conference or Workshop Item
(Paper)
|
Status: |
Published |
Creators/Authors: |
|
Date: |
November 2018 |
Date Type: |
Publication |
Journal or Publication Title: |
Proceedings of the Association for Information Science and Technology |
Volume: |
55 |
Publisher: |
John Wiley & Sons, Inc. |
Place of Publication: |
Somerset, NJ |
Event Title: |
81st Annual Meeting of the Association for Information Science and Technology |
Event Dates: |
10-14 Nov 2018 |
Event Type: |
Conference |
DOI or Unique Handle: |
10.1002/pra2.2018.14505501062 |
Schools and Programs: |
School of Information Sciences > Library and Information Science |
Refereed: |
Yes |
Article Type: |
Research Article |
Date Deposited: |
16 May 2019 16:55 |
Last Modified: |
16 May 2019 16:55 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/36734 |
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