Semantic metadata for research artifacts makes it easier to realize the FAIR principles while also providing a good overview for humans and machines. Such metadata for scholarly articles is well-covered, with metadata about datasets also getting momentum. However, metadata for other research artifacts, e.g., software and Artificial Intelligence (AI) models, is not yet that frequently provided. We will present our ongoing work extending schema.org with metadata for software (compatible with Software Management Plans) and AI models, including tools making easier for researchers to share metadata for their own research artifacts.
Castro, Leyla Jael (Wed,) studied this question.