This document discusses quantifying and measuring metadata quality. It notes that metadata comes from many sources in heterogeneous formats, which can impact quality through conversions and workflows. It proposes metrics for completeness, structuredness, use of controlled vocabularies, availability of linked resources, and loss in mappings. Automation is suggested to help define structured and machine-readable metadata. Standards like the W3C Data Quality Vocabulary could aid in developing consistent metrics. The goal is to better understand metadata quality issues and their impacts.
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