Quality assessment framework for open government data. Meta-synthesis of qualitative research, 2009-2019
| DOI | https://doi.org/10.1108/EL-06-2019-0145 |
| Published date | 18 April 2020 |
| Pages | 209-222 |
| Date | 18 April 2020 |
| Author | Hui Zhang,Jianying Xiao |
| Subject Matter | Information & knowledge management,Information & communications technology,Internet |
Quality assessment framework
for open government data
Meta-synthesis of qualitative research,
2009-2019
Hui Zhang and Jianying Xiao
School of Public Policy and Management,
China University of Mining and Technology, Xuzhou, China
Abstract
Purpose –To gain an in-depth understanding and provide direction to governments on their quality
measurement practicesrelated to open government data (OGD), this paper aims to develop a commonframe
of referencefor quality assessment of OGD.
Design/methodology/approach –Qualitative meta-synthesiswas used to synthesize previous studies
on the quality measurementof OGD. This paper applies a meta-synthesis approachto integrate 10 qualitative
studiesinto a common frame of reference for quality assessment of OGD.
Findings –Based on a seven-step meta-synthesis, the paper proposes a common frame of reference for
quality assessment of OGD, which includes six indicators, namely, accuracy, accessibility, completeness,
timeliness,consistency and understandability.
Originality/value –A common frame of reference for quality assessment of OGD will help researchers better
understand the quality assessment of OGD and government agencies to improve the quality of OGD that they
publish.
Keywords Quality assessment, Open government data, Meta-synthesis,
Quality of open government data
Paper type Research paper
Introduction
As open government data (OGD) initiatives were first proposed, there has been a rapid
proliferation of research about OGD and the implementation of OGD at various levels of
government around the world (Kassen, 2013;Mergel and Desouza, 2013;Zuiderwijk and Janssen,
2014b). Researchers and governments are interested in the potential benefits that OGD can bring
governments and the public (Attard et al.,2015;Janssen et al.,2012;Jung and Park, 2015;
Zuiderwijk et al., 2012). The realization of these benefits depends mostly on the use and reuse of
OGD by the public and enterprises (Attard et al.,2015;Chatfield and Reddick, 2017;European
Commission, 2018). The quality of OGD is one of the key enablers for its increased use and reuse
(Tauberer, 2014;Vetrò et al.,2016). Yet, the quali ty of OGD is often considered to be one of the key
challenges governments face in developing their OGD practices (Attard et al.,2015;Janssen et al.,
2012;Jetzek, 2016;Lee and Kwak, 2012;Ubaldi, 2013;Whitmore, 2014;World Wide Web
Foundation (WWWF), 2017). Thus, data quality has become a key issue in the field of OGD.
The existing researchon the quality of OGD can be categorized into:
descriptions about the quality of OGD (Sadiq and Indulska, 2017) such as the
challenges of open data quality (Corsar and Edwards, 2017) and enhancing the
quality of open data (O’Hara, 2014); and
a quality assessment framework for OGD.
Quality
assessment
framework
209
Received19 June 2019
Revised19 October 2019
14January 2020
Accepted10 March 2020
TheElectronic Library
Vol.38 No. 2, 2020
pp. 209-222
© Emerald Publishing Limited
0264-0473
DOI 10.1108/EL-06-2019-0145
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