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The maturity of open government data maturity: a multivocal literature review

Murat Tahir Çaldağ (Department of Technology and Knowledge Management, Baskent University, Ankara, Turkey)
Ebru Gökalp (Department of Computer Engineering, Faculty of Engineering, Hacettepe University, Ankara, Turkey) (Department of Engineering, Institute for Manufacturing, University of Cambridge, Cambridge, United Kingdom)

Aslib Journal of Information Management

ISSN: 2050-3806

Article publication date: 12 April 2022

Issue publication date: 29 September 2022

605

Abstract

Purpose

The aim of this study is to provide administrators in government institutions a roadmap to achieve benefits of open government data (OGD) by reviewing and classifying studies with assessment or maturity models (MMs) in the OGD domain with a Multivocal Literature Review (MLR).

Design/methodology/approach

To achieve this goal, the authors conducted an MLR that includes data from not only the formal literature but also the grey literature (e.g. white papers and online documents).

Findings

Out of 3,569 sources, 81 studies were selected by following the elimination scheme and assessing sources by relevance and methodology. As a result of the quality assessment of the identified MMs based on predefined criteria, unambiguity, comparability, repeatability, completeness, clearness and objectivity, it was observed that there are a limited number of MMs in this domain and none of them fully satisfies the requirements.

Originality/value

This study is likely the first MLR on OGD domain. This MLR serves as a first step for future research on OGD assessment and MMs by presenting the need to establish a holistic approach covering all OGD dimensions, creation of an objective assessment method, prescriptive properties, and empirical evaluation demonstrating the applicability and usefulness at different scope levels.

Keywords

Citation

Çaldağ, M.T. and Gökalp, E. (2022), "The maturity of open government data maturity: a multivocal literature review", Aslib Journal of Information Management, Vol. 74 No. 6, pp. 1007-1030. https://doi.org/10.1108/AJIM-11-2021-0354

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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