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 ...

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

An article recently published in Nature proposes a new way to evaluate data quality for artificial intelligence used in healthcare. Several documentation efforts and frameworks already exist to ...

Data is gold in our increasingly digitised world. Just as the value of gold is only realised in the refinement process, data needs to be refined to unlock its real value. Unrefined data can damage ...

Alation, the data intelligence company, is announcing that it has expanded its partnership with Snowflake, enabling Alation’s Open Data Quality Framework to now support integration with Snowflake ...

PITTSBURGH--(BUSINESS WIRE)--CMMI ® Institute has announced public availability of the Patient Demographic Data Quality (PDDQ) framework, developed in partnership with the US Department of Health and ...

Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...

Organizations struggle with unreliable data, leading to a trust gap between data producers and data consumers, operational risks, and flawed AI models. Moreover, with data volumes exponentially ...