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 October 2024, an assessment was undertaken of the data quality of the public sector debt statistics (PSDS) of the Republic of Zambia against the IMF’s Data Quality Assessment Framework (DQAF) for ...

GS1 US has published a GS1 US National Data Quality Program framework, which outlines the key components to help companies establish and sustain effective data quality programs based on GS1 Standards.

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 ...

As the push to integrate artificial intelligence and increase interoperability evolves, Clinical Architecture sees a dire need for tools that can assess the quality of healthcare data. Poor quality ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This report discusses the findings and recommendations of the 2025 assessment of the data quality of the public debt ...

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

AI is only as strong as the data beneath it. Fragmented, inconsistent or stale data will derail even the most advanced models. My previous MarTech article, “Operationalizing generative AI for ...

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 ...