Good data quality is crucial for any data-driven system's effective and safe operation. For
critical safety systems, the significance of data quality is even higher since incorrect or low …

In recent years many organizations have come to realize the importance of maintaining data
with the most appropriate levels of data quality when using their information systems (IS) …

For organizations data quality is a prerequisite for automated decision making and agility. To
provide high quality data, numerous tools have emerged that support the different steps of …

The foundation of a building plays a major role in the successful construction and longevity
of the building. The stronger the foundation, the stronger the building. In the same way, data …

The virtue of quality is not itself a subject; it depends on a subject. In the software
engineering field, quality means good software products that meet customer expectations …

High-quality data is a necessity for successful research and development endeavors. In this
article, we review relevant literature for data quality (DQ) assessment methods in different …

The research proposes a new approach to data quality management presenting three
groups of DSL (Domain Specific Language). The first language group uses concept of data …

Users should trust the data that are managed by software applications constituting the
Information Systems (IS). This means that organizations should ensure an appropriate level …

Abstract [Context and motivation] Safety-critical systems in application domains such as
aerospace, automotive, healthcare, and railway are subject to assurance processes to …

In the big data domain, data quality assessment operations are often complex and must be
implementable in a distributed and timely manner. This article tries to generalize the quality …