Open Data Quality
Abstract
The research discusses how (open) data quality could be described, what should be considered developing a data quality management solution and how it could be applied to open data to check its quality. The proposed approach focuses on development of data quality specification which can be executed to get data quality evaluation results, find errors in data and possible problems which must be solved. The proposed approach is applied to several open data sets to evaluate their quality. Open data is very popular, free available for every stakeholder - it is often used to make business decisions. It is important to be sure that this data is trustable and error-free as its quality problems can lead to huge losses.
Cite
@article{arxiv.2007.06540,
title = {Open Data Quality},
author = {Anastasija Nikiforova},
journal= {arXiv preprint arXiv:2007.06540},
year = {2022}
}
Comments
10 pages, 3 figures, 13th International Baltic Conference on Databases and Information Systems & The Baltic DB&IS 2018 Doctoral Consortium (Baltic DB&IS 2018) At: Lithuania, Trakai, Volume: 2158. arXiv admin note: substantial text overlap with arXiv:2007.04697