Researchers need easier, automated ways to create FAIR-compliant metadata. Existing tools lack coverage; ConnOSS aims to use machine learning to fill gaps and support good research practices.

Automatic extraction, harmonization, and enrichment of machine-actionable metadata for research software, improving its FAIRness, visibility, and reproducibility of research software and artefacts.

APIs, NLP/Maschinelles Lernen