Establishing a data quality framework for ingestion and/or creation of data is important to ensure that the resultant information product, as consumed by the enterprise, is of high quality and fit ...

Companies that have a functional data quality framework are more likely to be at an advanced maturity level with regards to analytical capabilities.

With the Open Data Quality Framework, Alation customers can strengthen data governance for Snowflake by making data quality information visible. This allows governance teams to document and enforce ...

Data quality has a massive impact on the safety of AI for patients, and a newly proposed framework could help bolster it.

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 ...

This paper describes work in progress on data quality, an important element of greater transparency in economic policy and financial stability. Data quality is being dealt with systematically by the ...

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 ...

Quality is a central element in business strategy and academic research. Despite important research on quality, an opportunity for an integrative framework remains. The authors present an integrative ...

The specific aims of this paper are to (1) develop and operationalize an electronic health record (EHR) data quality framework, (2) apply the dimensions of the framework to the phenotype and treatment ...