Data quality requirements analysis and modeling

@article{Wang1993DataQR,
  title={Data quality requirements analysis and modeling},
  author={Richard Y. Wang and Henry B. Kon and Stuart E. Madnick},
  journal={Proceedings of IEEE 9th International Conference on Data Engineering},
  year={1993},
  pages={670-677}
}
A set or premises, terms, and definitions for data quality management are established, and a step-by-step methodology for defining and documenting data quality parameters important to users is developed. These quality parameters are used to determine quality indicators about the data manufacturing process, such as data source creation time, and collection method, that are tagged to data items. Given such tags, and the ability to query over them, users can filter out data having undesirable… CONTINUE READING

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