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 ...

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 ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data quality, a subset of data intelligence, is a topic that many ...

Quality data is the cornerstone of good business decisions. To ensure your data is high quality, it must first be measured. Organizations struggle to maintain good data quality, especially as ...

The author compares mass data with survey data and other process-generated data and discusses their relevance for historical, historical social science and sociological research. After summarizing the ...

Boost your organization's potential with comprehensive data governance, from C-suite support to data quality assurance, retention rules and more. As critical as data is for organizations to flourish ...

Jordan’s ongoing efforts to strengthen the national statistical system and improve the quality of economic data have placed the review of the country’s GDP framework at the center of its economic ...