How Scholastica is helping OA journals produce machine-readable metadata to make articles more discoverable

Online search engines and academic indexes require machine-readable metadata to ingest and interpret information about journal articles. Without rich machine-readable metadata, the potential reach and impacts of journal articles are sure to be stunted because search engines and indexes will struggle to parse the articles and return them in relevant search results. Scholastica automatically produces machine-readable metadata for all of the articles published using their open access publishing platform, and they make it easy to apply metadata collected during peer review to published articles saving journals time. ISSN is among the core metadata required by publishing standards organizations and open access initiatives like Plan S.