A novel data quality metric for timeliness considering supplemental data

  title={A novel data quality metric for timeliness considering supplemental data},
  author={Bernd Heinrich and Mathias Klier},
It is intensively discussed in both science and practice how data quality (DQ) can be assured and improved. The growing relevance of DQ has revealed the need for adequate metrics because quantifying DQ is essential for planning quality measures in an economic manner. This paper analyses how DQ can be quantified with respect to the DQ dimension timeliness. Based on an existing approach, we design a new metric to quantify timeliness in a well-founded manner that considers so-called supplemental… CONTINUE READING
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