High-quality data are the precondition for analyzing and using big data and for guaranteeing
the value of the data. Currently, comprehensive analysis and research of quality standards …

RNA sequencing (RNA-seq) has been rapidly adopted for the profiling of transcriptomes in
many areas of biology, including studies into gene regulation, development and disease. Of …

The assessment of content quality (CQ) in social media adds a layer of complexity over
traditional information quality assessment frameworks. Challenges arise in accurately …

The rapid growth of Internet has given extraordinary opportunities to organizations and
business to provide services via the Internet (E-services). Moreover, E-services became a …

Purpose–The purpose of this paper is to identify quality issues with using historical work
order (WO) data from computerised maintenance management systems for reliability …

AI-driven journalism refers to various methods and tools for gathering, verifying, producing,
and distributing news information. Their potential is to extend human capabilities and create …

The essence of an information system lies in the data; if it is not of good quality or not
sufficiently protected, the consequences will undoubtedly be harmful. Quality and Security …

Due to the importance of using up-to-date data in information systems, this article analyzes
how the data-quality dimension currency can be quantified. Based on several requirements …

Data Quality is a critical issue in today's interconnected society. Advances in technology are
making the use of the Internet an ever-growing phenomenon and we are witnessing the …

In order to enhance their global business performance, organizations must be careful with
the quality of their information since it is one of their main assets. Analogies to quality …