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majority respondents have not used open data (see Table 2).
Future research will be aimed at a more focussed sample,
where all respondents have first-hand experience of using
open data to arrive at specific outcomes on the advantages of
open data from a citizen’s perspective. However, this in itself
also raises the deeper social question around the public’s
knowledge around open data availability and their ability to
influence change. Also, this study used regression analysis to
analyse the individual effects of the chosen constructs; future
study will be focused on structural equation modelling where
AMOS will be employed to produce extensive results on the
behaviour of different factors, affecting the acceptance of open
data. While only five attributes (DOI attributes) were evaluated within this study, the aim is to study the relevance of other
attributes (such as visibility, result demonstrability, image and
so on) to open data, and their consequent effects on citizens’
intentions to use open data. Lastly, the authors also intend to
examine how open data can be used to improve the quality of
life whilst encouraging the implementation of innovative solutions and services.
Open Access This article is distributed under the terms of the Creative
Commons Attribution 4.0 International License (http://
creativecommons.org/licenses/by/4.0/), which permits unrestricted use,
distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the
Creative Commons license, and indicate if changes were made.
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