BR4DQ: A methodology for grouping business rules for data quality evaluation

作者：

Highlights：

• Data quality measurement requires business rules describing the validity of data.

• Data quality evaluation is performed upon data quality measurement results.

• Grouping business rules can optimize the process of data quality measurement.

• Grouping business rules is done according to selected data quality characteristics.

• Grouping business rules helps to drive and optimize data quality improvement.

摘要

•Data quality measurement requires business rules describing the validity of data.•Data quality evaluation is performed upon data quality measurement results.•Grouping business rules can optimize the process of data quality measurement.•Grouping business rules is done according to selected data quality characteristics.•Grouping business rules helps to drive and optimize data quality improvement.

论文关键词：Business rules,Data quality,Data quality evaluation,Data quality measurement,Data quality characteristics,Data quality properties,ISO/IEC 25012,ISO/IEC 25024

论文评审过程：Received 8 September 2021, Revised 20 February 2022, Accepted 27 April 2022, Available online 4 May 2022, Version of Record 16 May 2022.

论文官网地址：https://doi.org/10.1016/j.is.2022.102058