Metadata and Metrics to Support Open Access (Monographs)
Metdata can be defined variously as “data about data”, digital ‘breadcrumbs’, magic pixie dust, and “something that everyone now knows the NSA wants a lot of”. It’s all of the above.
Metadata is used to support decision and workflows, add value to objects (through enhancing discover, use, reuse, and integration), and to support evaluation and analysis. It’s not the whole story for any of these things, but it can be a big part.
This presentation, invited for a workshop on Open Access and Scholarly Books (sponsored by the Berkman Center and Knowledge Unlatched), provides a very brief overview of metadata design principles, approaches to evaluation metrics, and some relevant standards and exemplars in scholarly publishing. It is intended to provoke discussion on approaches to evaluation of the use, characteristics, and value of OA publications.