codemeta.json

{
    "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
    "@type": "Software",
    "name": "yProv",
    "description": "yProv is a provenance service aimed at addressing multi-level provenance as well as reproducibility challenges in climate analytics experiments. It allows scientists to manage provenance information compliant with the W3C PROV standard in a more structured way and navigate and explore the provenance space across multiple dimensions, thus enabling the possibility to get coarse- or fine-grained information according to the level of interest. yProv is a joint project between University of Trento and CMCC.",
    "author": [
        {
            "@type": "Person",
            "givenName": "Sandro",
            "familyName": "Fiore",
            "email": "sandro.fiore@unitn.it",
            "affiliation": {
                "@type": "Organization",
                "name": "University of Trento"
            }
        },
        {
            "@type": "Person",
            "givenName": "Fabrizio",
            "familyName": "Antonio",
            "email": "fabrizio.antonio@cmcc.it",
            "affiliation": {
                "@type": "Organization",
                "name": "CMCC"
            }
        }
    ],
    "datePublished": "2025-01-14",
    "license": "MIT",
    "version": "1.1.0",
    "codeRepository": "https://github.com/HPCI-Lab/yProv",
    "keywords": [
      "provenance",
      "W3C Provenance",
      "multi-level provenance",
      "yProv"
    ],
    "programmingLanguage": "Python"
  }