When discussing information quality a frequent subject is if we can compare quality in manufacturing (and the related methodology) with information and data quality. The predominant argument against this comparison is that raw data can be reused multiple times while raw materials can’t.
Information Economics circles around that difference as well.
The value of data is very much dependent on how the data is being used and in many cases the value increases with the times the data is being used.
The usefulness of data (as information) may also be increased by each new use as new relations to other pieces of data are recorded.
In my eyes the value of (used) data is very much relying on how well you are able to capture the feedback from how data is used in business processes. This is actually the same approach as in continuous quality improvement (Kaizen) in manufacturing, only here the improvement is only good for the next goods to be produced. In data management we have the chance to improve the quality and value of already used data.