Title: A multi-criteria decision making model for the selection of open data management systems

Authors: Renáta Máchová; Martin Lněnička

Addresses: Faculty of Economics and Administration, University of Pardubice, Studentska 84, 53210 Pardubice, Czech Republic ' Department of Informatics, Business Academy and Secondary School of Tourism, T.G. Masaryka 1000, 56501 Chocen, Czech Republic

Abstract: A selection of advanced open and linked data technologies is very important in improving the impact of open government. This paper seeks to provide a multi-criteria decision model assessing open data management systems that are being deployed to enhance the e-government development. More precisely, it aims to provide a solution to the existing selection problem. The proposed evaluation framework consists of criteria identified through a systematic literature review focusing on selected open data management systems and their various quality dimensions. The fuzzy analytic hierarchy process was applied to validate the proposed modelling an illustrative case study. For this purpose, an expert panel was established. Additionally, a sensitivity analysis was performed to understand the effects of the chosen priority weights. The results imply that open-source CKAN is the most suitable system (platform) that fulfils the requirements and characteristics of open data.

Keywords: open data management system; data quality; multi-criteria decision making; fuzzy analytic hierarchy process; case study.

DOI: 10.1504/EG.2019.102579

Electronic Government, an International Journal, 2019 Vol.15 No.4, pp.372 - 391

Received: 11 Feb 2018
Accepted: 20 Sep 2018
Published online: 30 Sep 2019 *

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