Tag:academic journal metadata

Scholastica announces the release of a Product Roadmap detailing new features to help journals comply with Plan S and sustainably meet core technical publishing standards.

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.

In this interview, head of metadata at Crossref Patricia Feeney discusses metadata best practices and how journals can use Participation Reports to tell if they are sending Crossref rich machine-readable metadata.