{
    "id": "datenbewertung-und-governance-in-machine-learning",
    "type": "report",
    "title": "Datenbewertung und Governance in Machine-Learning-Pipelines",
    "title-short": "Datenbewertung und Governance in Machine-Learning-Pipelines",
    "abstract": "Ein systematisches Framework für Herkunftsnachweis, Qualitätsprüfung, Freigabe und Lifecycle-Überwachung. Trainingsdaten sind das Fundament jedes Machine-Learning-Systems.",
    "author": [
        {
            "family": "Schüller",
            "given": "Thomas",
            "ORCID": "https://orcid.org/0009-0003-9799-6747"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2026
            ]
        ]
    },
    "publisher": "Syntagma Forschung",
    "publisher-place": "Wien",
    "URL": "https://doi.org/10.5281/zenodo.20254074",
    "license": "CC BY 4.0",
    "DOI": "10.5281/zenodo.20254074"
}