Old data, new scheme: An exploration of metadata migration using expert-guided computational techniques

摘要

This paper explores the evaluation of metadata qualitywithin the context of migration to new conceptual models.While metadata quality and interoperability are commonlystudied areas, few studies have explored the issuesintroduced when migrating metadata to models that requirea re-definition of metadata record to resource relationships.In order to explore this issue, this study asks the question“How do human and computational techniques comparewith regards to the creation of FRBR work-sets fromexisting bibliographic metadata?” The study comparedcataloger assessment of FRBR relationships in a selectionof 848 MARC records with automatically generated worksets.The Levenhstein edit-distance algorithm was used toidentify work-sets in the automated approach. Thecomparison found that an improved version of work-setkeys from the OCLC FRBR algorithm provided the highestmatch rate with 62% of keys matching perfectly and 87% ofcorrect work-sets showing an 80% or higher similarity rate.The study methodology and evaluative measure overallindicate that a hybrid expert/automated approach and animproved key generation algorithm are effectivealternatives to manual or automated approaches alone.