In pursuit of rich article-level metadata: 5 elements journal publishers should prioritize

"As noted at the start of this post, don’t be discouraged if you can’t add all of the above elements to your article-level metadata. Remember, any metadata enrichment step you take, no matter how big or small, will make a difference in your article discoverability. We recommend taking an iterative approach to metadata enrichment and, above all, focusing on quality over quantity. So be sure to first establish a means of producing clean JATS XML metadata and HTML meta tags for all of your articles and then begin layering on new metadata elements from there. You don’t have to go the metadata enrichment journey alone either. Service providers can help you produce machine-readable metadata for all of your articles and enrich it. For example, Scholastica automatically generates machine-readable HTML and JATS XML metadata for all articles typeset by our digital-first production service, including automated citation metadata enrichment via machine learning. We also automatically produce machine-readable metadata for all articles published using our Open Access journal hosting platform. And when journals use Scholastica’s peer review management system, they can automatically apply metadata collected during peer review to articles submitted to our production service and/or published via Scholastica’s OA journal hosting platform to save even more time. You can learn more about how Scholastica is helping journals produce richer machine-readable metadata here. Also, be sure to use the metadata checking resources available to you. For example, if you’re registering DOIs for articles via Crossref, you can use the Crossref Participation Reports tool to quickly see which elements your metadata includes and which are missing...."