To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...

The Office for National Statistics (ONS) has published guidelines to improve the quality of data in the public sector. The Government data quality framework, developed by the Government Data Quality ...

Burke, Inc., a leading decision intelligence consultancy, released new research examining the reliability of synthetic data ...

The Office of the National Coordinator for Health IT published the Patient Demographic Data Quality Framework of best practices for data management processes that enable hospitals to more effectively ...

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

Researchers Daniel Schwabe, Katinka Becker, Martin Seyferth, Andreas Klaß and Tobias Schaeffter from Berlin proposed a new data quality framework. (jamesteohart/Getty Images) An article recently ...

The European Medicines Agency (EMA) has finalized a document with recommendations on using the European Medicines Regulatory Network (EMRN) Data Quality Framework (DQF) when submitting premarket ...

With the vigorous promotion of Industry 4.0 and Intelligent Manufacturing, manufacturing systems are rapidly integrating with new technologies such as the Internet of Things (IoT), Artificial ...

In my years managing business intelligence projects, the limitations of traditional reporting have become abundantly clear. Early in my career, senior leaders would often wait weeks for static reports ...