Add to ORKGhttps://doi.org/10.21949/14046031997PDFTech ReportDOT HS 808 597Statistical quality controlEmpirical methodsUnited StatesUnited States. National Highway Traffic Safety AdministrationUnited States. National Highway Traffic Safety AdministrationNTL-REFERENCES AND DIRECTORIES-StatisticsBTS Data DirectoryAn important objective of a statistical data system is to enable users of the data to recommend (an organizations to take) rational action for solving problems or for improving quality of service of manufactured product. With this view in mind, this paper gives a list of some desired characteristics, or dimensions, of data quality, to be considered when building and maintaining statistical data systems. Some discussion of possible conflicts bet...
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...
In the health industry, the use of data (including Big Data) is of growing importance. The term &lsq...
Abstract — The assessment of Data Quality varies according to the information systems, quality prope...
Data quality (DQ) has been studied in significant depth over the last two decades and has received a...
Attribute data quality is important object for each databases. If data quality doesn’t useful,...
We present the old-but-also-new problem of data quality from a statistical perspective, in part with...
Data Quality is, in essence, understood as the degree to which the data of interest satisfies the re...
Nowadays, activities and decisions making in an organization is based on data and information obtain...
Achieving high level of data quality is considered one of the most important assets for any small, m...
High quality data is an important asset in numerous business and organizations. The quality of data,...
Data quality is crucial in measuring and analyzing science, technology and innovation adequately, wh...
Abstract — The assessment of Data Quality varies according to the information systems, quality prope...
Information systems have been rapidly evolving from monolithic/ transactional to network/service bas...
Information systems have been rapidly evolving from monolithic/ transactional to network/service bas...
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...
In the health industry, the use of data (including Big Data) is of growing importance. The term &lsq...
Abstract — The assessment of Data Quality varies according to the information systems, quality prope...
Data quality (DQ) has been studied in significant depth over the last two decades and has received a...
Attribute data quality is important object for each databases. If data quality doesn’t useful,...
We present the old-but-also-new problem of data quality from a statistical perspective, in part with...
Data Quality is, in essence, understood as the degree to which the data of interest satisfies the re...
Nowadays, activities and decisions making in an organization is based on data and information obtain...
Achieving high level of data quality is considered one of the most important assets for any small, m...
High quality data is an important asset in numerous business and organizations. The quality of data,...
Data quality is crucial in measuring and analyzing science, technology and innovation adequately, wh...
Abstract — The assessment of Data Quality varies according to the information systems, quality prope...
Information systems have been rapidly evolving from monolithic/ transactional to network/service bas...
Information systems have been rapidly evolving from monolithic/ transactional to network/service bas...
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...
In the health industry, the use of data (including Big Data) is of growing importance. The term &lsq...