Initiatives at ZB MED and NFDI on metadata for software and AI models

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-19
DOI
https://doi.org/10.5281/zenodo.17642991
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Initiatives at ZB MED and NFDI on metadata for software and AI models

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Initiatives at ZB MED and NFDI on metadata for software and AI models

article en

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 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.

Zenodo (CERN European Organization for Nuclear Research)
ZB MED - Information Centre for Life Sciences (DE)
Openalex Percentile: Top 31%
Research Data Management Practices
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