Characterizing Open Government Data Available on the Web from the Quality Perspective: A Systematic Mapping Study

Rafael Almeida, Glauco Carneiro, Edward Moreno

2022

Abstract

Context: Data openness can create opportunities for new and disruptive digital services on the web that has the potential to benefit the whole society. However, the quality of those data is a crucial factor for the success of any endeavor based on information made available by the government. Objective: Analyze the current state of the art of quality evaluation of open government data available on the web from the perspective of discoverability, accessibility, and usability. Methods: We performed a systematic mapping review of the published peer-reviewed literature from 2011 to 2021 to gather evidence on how practitioners and researchers evaluate the quality of open government data. Results: Out of 792 records, we selected 21 articles from the literature. Findings suggest no consensus regarding the quality evaluation of open government data. Most studies did not mention the datasetś application domain, and the preferred data analysis approach mainly relies on human observation. Of the non-conformities cited, data discoverability and usability outstand from the others. Conclusions: There is also no consensus regarding the dimensions to be included in the evaluation. None of the selected articles reported the use of machine learning algorithms for this end.

Paper Citation

in Harvard Style

Almeida R., Carneiro G. and Moreno E. (2022). Characterizing Open Government Data Available on the Web from the Quality Perspective: A Systematic Mapping Study. In Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-613-2, pages 214-225. DOI: 10.5220/0011585300003318

in Bibtex Style

@conference{webist22,
author={Rafael Almeida and Glauco Carneiro and Edward Moreno},
title={Characterizing Open Government Data Available on the Web from the Quality Perspective: A Systematic Mapping Study},
booktitle={Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2022},
pages={214-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011585300003318},
isbn={978-989-758-613-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Characterizing Open Government Data Available on the Web from the Quality Perspective: A Systematic Mapping Study
SN - 978-989-758-613-2
AU - Almeida R.
AU - Carneiro G.
AU - Moreno E.
PY - 2022
SP - 214
EP - 225
DO - 10.5220/0011585300003318