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 ...
Verizon is building trust in AI through a robust data governance and quality framework. Analysis on responsible AI, telecom ...
In healthcare, the costs are not merely financial. Incomplete, inconsistent or delayed electronic health records can lead to ...
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 ...
While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...
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 ...
In September 2025, an assessment was undertaken of the data quality of the public sector debt statistics (PSDS) of Mauritius ...
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