Data-driven organizations are becoming increasingly aware of data quality in order to mature their data activities. Data quality is of particular concern to research functions, but many existing frameworks are not well suited for use by researchers. This paper discusses existing data quality frameworks and focuses on one that meets the needs of research functions. A modified version of that framework is described along with details for use with a wide range of data.
TB 19-03, November 2019
Becker, Thealexa. 2019. “Discussing Data: Evaluating Data Quality.” Federal Reserve Bank of Kansas City, Technical Briefing no. 19-03, November. Available at External Linkhttps://doi.org/10.18651/TB/TB1903