To read the full version of this content please select one of the options below:

Quality assessment framework for open government data: Meta-synthesis of qualitative research, 2009-2019

Hui Zhang (School of Public Policy and Management, China University of Mining and Technology, Xuzhou, China)
Jianying Xiao (School of Public Policy and Management, China University of Mining and Technology, Xuzhou, China)

The Electronic Library

ISSN: 0264-0473

Article publication date: 21 April 2020

Issue publication date: 20 May 2019

Abstract

Purpose

To gain an in-depth understanding and provide direction to governments on their quality measurement practices related to open government data (OGD), this paper aims to develop a common frame of reference for quality assessment of OGD.

Design/methodology/approach

Qualitative meta-synthesis was used to synthesize previous studies on the quality measurement of OGD. This paper applies a meta-synthesis approach to integrate 10 qualitative studies into 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

Acknowledgements

This paper supported by the Fundamental Research Funds for the Central Universities (2014WA07).

Citation

Zhang, H. and Xiao, J. (2019), "Quality assessment framework for open government data: Meta-synthesis of qualitative research, 2009-2019", The Electronic Library, Vol. 38 No. 2, pp. 209-222. https://doi.org/10.1108/EL-06-2019-0145

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited