Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Exploring the quality of government open data

Exploring the quality of government open data The use of “open data” can help the public find value in various areas of interests. Many governments have created and published a huge amount of open data; however, people have a hard time using open data because of data quality issues. The UK, the USA and Korea have created and published open data; however, the rate of open data implementation and level of open data impact is very low because of data quality issues like incompatible data formats and incomplete data. This study aims to compare the statuses of data quality from open government sites in the UK, the USA and Korea and also present guidelines for publishing data format and enhancing data completeness.Design/methodology/approachThis study uses statistical analysis of different data formats and examination of data completeness to explore key issues of data quality in open government data.FindingsFindings show that the USA and the UK have published more than 50 per cent of open data in level one. Korea has published 52.8 per cent of data in level three. Level one data are not machine-readable; therefore, users have a hard time using them. The level one data are found in portable document format and hyper text markup language (HTML) and are locked up in documents; therefore, machines cannot extract out the data. Findings show that incomplete data are existing in all three governments’ open data.Originality/valueGovernments should investigate data incompleteness of all open data and correct incomplete data of the most used data. Governments can find the most used data easily by monitoring data sets that have been downloaded most frequently over a certain period. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Electronic Library Emerald Publishing

Exploring the quality of government open data

Yi, Myongho
The Electronic Library , Volume 37 (1): 14 – May 15, 2019
Download PDF
14 pages

Loading next page...
 
/lp/emerald-publishing/exploring-the-quality-of-government-open-data-314M5Ac9Um

References (26)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0264-0473
DOI
10.1108/el-06-2018-0124
Publisher site
See Article on Publisher Site

Abstract

The use of “open data” can help the public find value in various areas of interests. Many governments have created and published a huge amount of open data; however, people have a hard time using open data because of data quality issues. The UK, the USA and Korea have created and published open data; however, the rate of open data implementation and level of open data impact is very low because of data quality issues like incompatible data formats and incomplete data. This study aims to compare the statuses of data quality from open government sites in the UK, the USA and Korea and also present guidelines for publishing data format and enhancing data completeness.Design/methodology/approachThis study uses statistical analysis of different data formats and examination of data completeness to explore key issues of data quality in open government data.FindingsFindings show that the USA and the UK have published more than 50 per cent of open data in level one. Korea has published 52.8 per cent of data in level three. Level one data are not machine-readable; therefore, users have a hard time using them. The level one data are found in portable document format and hyper text markup language (HTML) and are locked up in documents; therefore, machines cannot extract out the data. Findings show that incomplete data are existing in all three governments’ open data.Originality/valueGovernments should investigate data incompleteness of all open data and correct incomplete data of the most used data. Governments can find the most used data easily by monitoring data sets that have been downloaded most frequently over a certain period.

Journal

The Electronic Library – Emerald Publishing

Published: May 15, 2019

Keywords: Quality; Open data; Open government data; Completeness; Formats

There are no references for this article.