Tag:machine-readable metadata

The quality of the machine-readable metadata associated with academic journal articles is virtually as important as the quality of the research itself. In this post, we overview the role of machine-readable metadata in article discovery and how Scholastica is helping open access journals produce the rich machine-readable metadata they need.

Metadata 2020's chief coordinator Laura Paglione discusses how the initiative got started and the stakeholders involved. The goal of Metadata 2020 is to understand how metadata is being used throughout the research lifecycle and to develop recommendations for improvement.