Abstract: Maintaining usable digital collections necessitates maintaining high quality metadata about those digital objects. An effective metadata management approach can help institutions improve consistency, clarity of data lineage and relationships so that institutions can better use, reuse, and integrate resources. The metadata quality characteristics depend on various factors, including: type of resources, user perspectives, needs and priorities, which vary across groups of users. The metadata quality issue is particularly acute if there are multiple institutions participating in collaborative digital projects, where a high level of interoperability is an important element. This paper demonstrates metadata quality assurance mechanisms by examining different quality assessment criteria, including metadata record completeness, consistency, accuracy, provenance, conformance to expectations, and other known substantive factors.