Semantic metadata for software and AI models

SWIB25 Talks@SWIB25
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We would like to present our work on semantic metadata for software and AI models.

Abstract. 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 approach to schema.org-based 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.

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Zenodo record for this talk: Initiatives at ZB MED and NFDI on metadata for software and AI models

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@ljcastro Thank you for your talk! Do you include SWHIDs in your metadata? https://www.softwareheritage.org/software-hash-identifier-swhid/

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Hi, yes, we use it for source-code. It is not yet integrated into the metadata extractors as right now it only takes metadata directly from GitHub. We will extend the metadata extractor with info from SWH and Zenodo so it will come soon, planned for first quarter of 2026.

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