Add to ORKGToday's methodologies for data quality assessment and improvement are considerably aimed at reducing costs. Data quality comprises different dimensions, each having certain methods and techniques to assess and improve data quality. One of the most controversial dimensions is data believability in which less attention has been paid by scholars and researchers, because of its ambiguous nature. This is categorized under the "intrinsic data quality" dimensions. The current paper offers a precise and comprehensive definition of such quality dimension, and provides some parameters to understand it. In order to calculate these parameters, furthermore, different methods are discussed
Although contemporary research relies to a large extent on data, data quality in Information Systems...
Data quality is crucial for operational efficiency and sound decision making. This paper focuses on...
Over the past decades, the topic of data quality became extremely important in various application f...
Data quality (DQ) has been studied in significant depth over the last two decades and has received a...
Data quality is crucial for operational efficiency and sound decision making. This paper focuses on ...
The growing relevance of data quality has revealed the need for adequate measurement since quantifyi...
In order to enable proper system and integration testing, it is often necessary to have huge test da...
Data Quality is, in essence, understood as the degree to which the data of interest satisfies the re...
Abstract This research proposes the use of an IPMAP for providing metadata about the source and proc...
Achieving high level of data quality is considered one of the most important assets for any small, m...
The aim of the thesis is to prove measurability of the Data Quality which is a relatively subjective...
The aim of the thesis is to prove measurability of the Data Quality which is a relatively subjective...
Data quality is crucial in measuring and analyzing science, technology and innovation adequately, wh...
Data quality is crucial for operational efficiency and sound decision making. This paper focuses on ...
Nowadays, activities and decisions making in an organization is based on data and information obtain...
Although contemporary research relies to a large extent on data, data quality in Information Systems...
Data quality is crucial for operational efficiency and sound decision making. This paper focuses on...
Over the past decades, the topic of data quality became extremely important in various application f...
Data quality (DQ) has been studied in significant depth over the last two decades and has received a...
Data quality is crucial for operational efficiency and sound decision making. This paper focuses on ...
The growing relevance of data quality has revealed the need for adequate measurement since quantifyi...
In order to enable proper system and integration testing, it is often necessary to have huge test da...
Data Quality is, in essence, understood as the degree to which the data of interest satisfies the re...
Abstract This research proposes the use of an IPMAP for providing metadata about the source and proc...
Achieving high level of data quality is considered one of the most important assets for any small, m...
The aim of the thesis is to prove measurability of the Data Quality which is a relatively subjective...
The aim of the thesis is to prove measurability of the Data Quality which is a relatively subjective...
Data quality is crucial in measuring and analyzing science, technology and innovation adequately, wh...
Data quality is crucial for operational efficiency and sound decision making. This paper focuses on ...
Nowadays, activities and decisions making in an organization is based on data and information obtain...
Although contemporary research relies to a large extent on data, data quality in Information Systems...
Data quality is crucial for operational efficiency and sound decision making. This paper focuses on...
Over the past decades, the topic of data quality became extremely important in various application f...