With the increasing number of repositories, standards and resources we manage for digital libraries, there is a growing need to assess, validate and analyze our metadata - beyond our traditional approaches such as writing XSD or generating CSVs for manual review. Being able to further analyze and determine measures of metadata quality helps us better manage our data and data-driven development, particularly with the shift to Linked Open Data leading many institutions to large-scale migrations. Yet, the semantically-rich metadata desired by many Cultural Heritage Institutions, and the granular expectations of some of our data models, makes performing assessment, much less going on to determine quality or performing validation, that much trickier. How do we handle analysis of the rich understandings we have built into our Cultural Heritage Institutions’ metadata and enable ourselves to perform this analysis with the systems and resources we have?
This webinar with Christina Harlow, Cornell University Library, sets up this question and proposes some guidelines, best practices, tools and workflows around the evaluation of metadata used by and for digital libraries and Cultural Heritage Institution repositories. The goal is for webinar participants to walk away prepared to handle their own metadata assessment needs by using existing works and being better aware of the open questions in this domain. For additional information and to register, go to http://dublincore.org/resources/training/#2017harlow.