Background Data provenance refers to the origin, processing, and movement of data.
Reliable and precise knowledge about data provenance has great potential to improve …

Data provenance means recording data origins and the history of data generation and
processing. In healthcare, data provenance is one of the essential processes that make it …

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 …

Aims: This article aims to perform a Systematic Literature Review (SLR) to better understand
the structures of different methods, techniques, models, methodologies, and technologies …

Data provenance focuses on the source of the data and on the identification of data sources
and their transformations undergone over time. This paper proposes a generic method for …

This paper discusses the topic of data quality, which concerns the global research and
business community and constitutes a challenging task. The data quality prerequisite …

Defining and evaluating data quality can be a complex task as it varies depending on the
specific purpose for which the data is intended. To effectively assess data quality, it is …

Data quality is a critical requirement for data-driven clinical decision making in modern
healthcare. It is a key prerequisite to many clinical analytics applications, yet much of the …

Provenance provides information about how data came to be in its present state. Recently,
many critical applications are working with data provenance and provenance security …

Provenance, which can be applied to assure quality, to reinforce reliability, to track fault, and
to reproduce process in the end product, refers to record the lifecycle of a piece of data or …