This is a very interesting question! Thank you for bringing it up. We are using LRMI in the Finnish Library of Open Educational Resources. Before choosing what to use, we compared a few of the most used metadata models, but unfortunately we have information on the comparisons only in Finnish. Mainly we chose LRMI because it has possibilities to describe the OERs with curriculum related information and it is not overly complicated. This is important because we do not have experts making the metadata but it is generated by the creators and users of the OER. We made a national profile of LRMI with translations and recommendations for vocabularies. During our work we also tested it with teachers from different educational sectors and we found some needs for improvement that we have since implemented. We also cooperate with libraries and this has brought some further additions. We are happy to share our experinces with implementing LRMI with interested people.
We are currently also testing an AI-solution to further enrich the metadata (it’s called Annif). According to our current test it would enable more metadata, but not necessarily metadata that helps in searching OER. It might come to it that more development is needed for it to be useful for educational resources.
I will also discuss about this briefly in my lighting talk today in a few minutes: :sync: Designing an OER Platform to Support Continuous Learning and All Educational Sectors