Ojo, Adegboyega, Porwol, Lukasz, Waqar, Mohammad, Osagie, Edobor, Stasiewicz, Arkadiusz, Zeleti, Fatemeh Ahmadi, Hogan, Michael, Harney, Owen and Riordan, Pauline (2016) Pathologies of Open Data Platforms and Desired Transparency-Related Affordances for Future Platforms. In: Proceedings of the 17th International Digital Government Research Conference on Digital Government Research. ACM Digital Library, pp. 538-539. ISBN 978-1-4503-4339-8
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Abstract
The increasing volumes of datasets published on open data
platforms have had little impact on the public use of open data and
perceived transparency of respective governments. At the same
time, the innovation potentials of these datasets are far from
realized due to many factors including poor quality of datasets.
While past studies have attempted to catalog barriers to open data
exploitation and use; few studies have focused on the role of the
available open data platforms in tackling this problem. In
addressing this gap, this research work examines the problems (or
pathologies) associated with the use of current generation of open
data platforms and perspectives of stakeholders on desirable
features and affordances. Results from our analysis of existing
platforms and stakeholders’ views show several limiting factors
on available platforms. Findings also provide insights into three
categories of platform affordances that could spur greater use of
open data published on these platforms and enhanced
transparency of respective governments.
Item Type: | Book Section |
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Keywords: | Open Data Platforms; Open data and Transparency; Platform Affordances; Transparency Qualities; Future Open Data Platform; |
Academic Unit: | Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI Faculty of Social Sciences > School of Business |
Item ID: | 15813 |
Identification Number: | 10.1145/2912160.2912237 |
Depositing User: | Adegboyega Ojo |
Date Deposited: | 12 Apr 2022 13:44 |
Publisher: | ACM Digital Library |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/15813 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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