Data quality

Data quality refers to the level of quality of data. There are many definitions of data quality but data are generally considered high quality if, "they are fit for their intended uses in operations, decision making and planning." (Tom Redman<Redman, T.C. (2008). Data driven: Profiting from your most important business asset (p. 56). Boston, Mass.: Harvard Business Press.>). Alternatively, data is deemed of high quality if it correctly represents the real-world construct to which it refers. Furthermore, apart from these definitions, as data volume increases, the question of internal consistency within data becomes significant, regardless of fitness for use for any particular external purpose. People's views on data quality can often be in disagreement, even when discussing the same set of data used for the same purpose.