The authors distilled the terms down to 15 considerations, or “dimensions” that they say healthcare entities should use to determine the quality of their data.

Once you determine what dimensions are to be used and set a target of quality that makes the data fit for purpose, consider ongoing profiling and presentation of data quality levels.

Four dimensions of data quality Your recent Data Analytics Survey (Data Strategy, June), found that nearly four in ten organisations do not have data quality programmes in place.

As a component of data governance and management, 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 ...

Methods A targeted review was conducted to summarize data quality dimensions in frameworks published by the European Medicines Agency, The National Institute for Healthcare and Excellence, US Food and ...

When measuring the data quality in data warehouses and databases, intrinsic data quality dimensions such as consistency are independent of the use cases, whereas extrinsic ones such as reliability ...