Systematic Literature Review of Data Quality in Open Government Data: Trend, Methods, and Applications

Abstract

An open government data (OGD) is an assortment of datasets dumped by government agencies into a portal with the goal of promoting the legitimacy and openness of government operations and processes to citizens. OGD also assist citizens in obtaining other forms of information to aid in decision-making or planning. However, poor data quality (DQ) leads to users losing interest and trust in using the data. DQ is a type of measurement that determines the usefulness of data. It is a vast issue for discussion, with uncertainty arising from the diversity across a range of descriptions and dimensions. Hence, this study explored the concept of DQ and found the completeness dimension as a vital component in OGD. According to an analysis of 37 articles, incomplete, missing, and unknown values all had a direct effect on completeness. This study illustrated recent ways of addressing the issue, as well as real life examples. Finally, this study offers recommendations for novices and other intellectuals for improvement in future research.

Keywords

• Completeness
• data quality
• dimension
• missing value
• open government data