Borek, A and Woodall, P and Oberhofer, M and Parlikad, AK (2011) A classification of data quality assessment methods. In: UNSPECIFIED pp. 189-203..Full text not available from this repository.
Data quality (DQ) assessment can be significantly enhanced with the use of the right DQ assessment methods, which provide automated solutions to assess DQ. The range of DQ assessment methods is very broad: from data profiling and semantic profiling to data matching and data validation. This paper gives an overview of current methods for DQ assessment and classifies the DQ assessment methods into an existing taxonomy of DQ problems. Specific examples of the placement of each DQ method in the taxonomy are provided and illustrate why the method is relevant to the particular taxonomy position. The gaps in the taxonomy, where no current DQ methods exist, show where new methods are required and can guide future research and DQ tool development.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Divisions:||Div E > Manufacturing Systems|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 17:55|
|Last Modified:||16 Jan 2017 11:39|