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example_MI_WDCC_Maturity.json
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111 lines (111 loc) · 4.59 KB
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{
"@context": "http://schema.org",
"@type": "Dataset",
"@id": "https://doi.org/10.26050/wdcc/momergombsemep",
"additionalType": "Digital",
"name": "MOM-ERGOM western Baltic Sea simulations with tagging of atmospheric nitrogen deposition by EMEP",
"datePublished": "2019",
"schemaVersion": "http://datacite.org/schema/kernel-4",
"publisher": {
"@type": "Organization",
"name": "World Data Center for Climate (WDCC) at DKRZ"
},
"provider": {
"@type": "Organization",
"name": "datacite"
},
"MaturityCheck": {
"schemaVersion": "v7.1",
"name": "Quality Maturity Matrix (QMM)",
"description": "DKRZ Data Management Report. Quality Maturity Matrix Checklist for Levels 4 and 5 with Protocols. Contents: 1. Why use Maturity Matrix for Data and Metadata Quality Assessment at DKRZ-LTA; 2. QMM level at DKRZ-LTA; 3. QMM 4 with Checklist Version 15/05/2019; 4. Protocol Template Level 4; 5. QMM Level 5 with Checklist Version 15/05/2019; 6. Protocol Template Level 5; 7. Links",
"type": {
"@typeGeneral": "Text",
"#text": "report/publication"
},
"isMachineReadable": "yes",
"identifier": {
"@identifierScheme": "DOI",
"@schemeURI": "https://doi.org",
"#text": "10.2312/WDCC/TR_QMM_Checkl_Levels_4-5_Prots"
},
"version": "Mar-2019",
"performedBys": {
"performedBy": [
{
"type": "Publisher",
"name": "WDCC",
"identifiers": {
"identifier": [
{
"@identifierScheme": "ROR",
"@schemeURI": "https://ror.org",
"#text": "03ztgj037"
},
{
"@identifierScheme": "ISNI",
"@schemeURI": "http://isni.org/isni/",
"#text": "0000000403741955"
}
]
}
},
{
"type": "Creator",
"name": "Neumann, Daniel",
"identifier": {
"@identifierScheme": "ORCID",
"@schemeURI": "https://orcid.org",
"#text": "0000-0001-8574-9093"
}
}
]
},
"performedDate": "2019-12-18",
"externalReport": {
"summary": "Quality Maturity Matrix Level of doi:10.26050/WDCC/MOMERGOMBSEMEP",
"identifier": {
"@identifierScheme": "URL",
"#text": "https://cera-www.dkrz.de/WDCC/ui/cerasearch/entry?acronym=QMM_MOMERGOMBSEMEP"
}
},
"results": {
"summary": "This dataset reaches on average level 4.25 (out of 5).",
"metrics": {
"metric": [
{
"name": "Consistency",
"description": "Data Organisation and Data Object; Versioning and Controlled Vocabularies (CVs); Data-Metadata Consistency",
"result": {
"@unit": "Level",
"#text": "4"
}
},
{
"name": "Completeness",
"description": "Existence of Data; Existence of Core Metadata and Provenance",
"result": {
"@unit": "Level",
"#text": "4"
}
},
{
"name": "Accessibility",
"description": "Technical Data Access by Identifier/Lineage; Core Metadata and Provenance Access by Identifier",
"result": {
"@unit": "Level",
"#text": "5"
}
},
{
"name": "Accuracy",
"description": "Plausibility; Statistical Anomalies",
"result": {
"@unit": "Level",
"#text": "4"
}
}
]
}
}
}
}