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

A multi-criteria decision making model for the selection of open data management systems 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Electronic Government, an International Journal Inderscience Publishers

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

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1740-7494
eISSN
1740-7508
DOI
10.1504/EG.2019.102579
Publisher site
See Article on Publisher Site

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.

Journal

Electronic Government, an International JournalInderscience Publishers

Published: Jan 1, 2019

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