Nowadays, the importance of achieving and maintaining a high standard of data quality is
widely recognized by both practitioners and researchers. Based on its impact on …

Nowadays, IoT is being used in more and more application areas and the importance of IoT
data quality is widely recognized by practitioners and researchers. The requirements for …

This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …

Data pipelines involve a complex chain of interconnected activities that starts with a data
source and ends in a data sink. Data pipelines are important for data-driven organizations …

In 2020, digital transformation was a major theme to commemorate Indonesia's main
agrarian law's anniversary. This theme is a reminder of the need to fully implement digital …

The growth of administrative data repositories worldwide has spurred the development and
application of data quality frameworks to ensure that research analyses based on these data …

Big Data has gained an enormous momentum the past few years because of the
tremendous volume of generated and processed Data from diverse application domains …

While big data benefits are numerous, the use of big data requires, however, addressing
new challenges related to data processing, data security, and especially degradation of data …

The term data quality refers to measuring the fitness of data regarding the intended usage.
Poor data quality leads to inadequate, inconsistent, and erroneous decisions that could …

This paper provides a comprehensive description of the current literature on data fusion,
with an emphasis on Information Quality (IQ) and performance evaluation. This literature …