A multi-criteria decision making model for the selection of open data management systems
ČlánekOtevřený přístuppeer-reviewedThis is a postprint of an article published in Electronic Government. The final authenticated version is available online at: https://doi.org10.1504/EG.2019.102579 or https://www.inderscience.com/info/inarticle.php?artid=102579Datum publikování
2019
Autoři
Vedoucí práce
Oponent
Název časopisu
Název svazku
Vydavatel
Inderscience
Abstrakt
A selection of advanced open and linked data technologies is very important in improving the im-pact 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 model in 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.
Rozsah stran
p. 372-391
ISSN
1740-7494
Trvalý odkaz na tento záznam
Projekt
Zdrojový dokument
Electronic Government, volume 15, issue: 4
Vydavatelská verze
https://www.inderscience.com/info/inarticle.php?artid=102579
Přístup k e-verzi
open acess
Název akce
ISBN
Studijní obor
Studijní program
Signatura tištěné verze
Umístění tištěné verze
Přístup k tištěné verzi
Klíčová slova
open data management system, data quality, multi-criteria decision making, fuzzy analytic hierar-chy process, case study, systém pro správu otevřených dat, kvalita dat, vícekriteriální rozhodování, fuzzy analytický hierarchický proces, případová studie