intrinsic data quality dimensions such as consistency are independent of the use cases, whereas extrinsic ones such as reliability may depend on the analysis. Measuring data quality as a ratio ...

Data quality dimensions include consistency, completeness, conformity, integrity and accuracy. What is a data warehouse? A data warehouse is a large store of data amassed from a vast range of ...

That’s why it is difficult to select data quality dimensions (timeliness, completeness, etc.) and apply them properly at every stage of the data lifecycle. Data quality management usually never takes ...

data quality is a measure of a dataset’s overall integrity with the goal of consistency. In a recent blog post from Great Expectations, author Sam Bail lists six dimensions of data quality: Data that ...

We developed a framework of five data quality dimensions (DQD; completeness, concordance, conformance, plausibility, and temporality). Participants signed a consent and Health Insurance Portability ...