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DOI: 10.14569/IJACSA.2021.0121104
PDF

Application-based Framework for Analysis, Monitoring and Evaluation of National Open Data Portals

Author 1: Vigan Raca
Author 2: Goran Velinov
Author 3: Betim Cico
Author 4: Margita Kon-Popovska

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 11, 2021.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Open Government Data (OGD) portals are considered of significant national importance towards transparency and accountability improvement. The continuous publication of data in OGD portals introduces the need for high-quality data and the qualitative portal itself. This paper aims to address the data quality issues through a framework composed of several components aimed at measuring and monitoring the OGD portals in an automated way. Through this proposed framework, is intended to monitor and evaluate OGD quality, respectively OGD portals, and to show their progress/regress based on accumulated scores for different periods. The advantage of the proposed framework is the compatibility with any OGD Portal due to its flexibility of integration. The integration interface consists of only a few basic metrics but is necessary that almost the OGD portal possesses and can produce very compressive results. The other advantage is the possibility of extraction of collected data for further analysis and the introduction of artificial intelligence (AI) for prediction purposes to point out how the OGD portals will stand in the next period.

Keywords: Open data; government; datasets; evaluation; portals; framework

Vigan Raca, Goran Velinov, Betim Cico and Margita Kon-Popovska, “Application-based Framework for Analysis, Monitoring and Evaluation of National Open Data Portals” International Journal of Advanced Computer Science and Applications(IJACSA), 12(11), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121104

@article{Raca2021,
title = {Application-based Framework for Analysis, Monitoring and Evaluation of National Open Data Portals},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121104},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121104},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {11},
author = {Vigan Raca and Goran Velinov and Betim Cico and Margita Kon-Popovska}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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