Dataset til Forskningsdata

ForskningAvanceret

Dataset schema til videnskabelige datasæt og research data med distribution og citation info.

Kode Eksempel

<!DOCTYPE html>
<html lang="da">
<head>
  <title>COVID-19 Vaccination Data Danmark 2020-2025</title>
  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "Dataset",
    "name": "COVID-19 Vaccination Coverage Denmark 2020-2025",
    "description": "Komplet datasæt over COVID-19 vaccinationsdækning i Danmark fra december 2020 til januar 2025. Inkluderer daglige opdateringer af antal vaccinerede, fordelt på alder, køn, region og vaccinetype. Data indsamlet af Statens Serum Institut.",
    "url": "https://example.com/datasets/covid19-vaccination-dk",
    "identifier": [
      "https://doi.org/10.5555/12345678",
      "https://example.com/datasets/covid19-vac-dk"
    ],
    "keywords": [
      "COVID-19",
      "vaccination",
      "Danmark",
      "sundhedsdata",
      "epidemiologi",
      "folkesundhed"
    ],
    "creator": {
      "@type": "Organization",
      "name": "Statens Serum Institut",
      "url": "https://www.ssi.dk",
      "sameAs": "https://en.wikipedia.org/wiki/Statens_Serum_Institut"
    },
    "publisher": {
      "@type": "Organization",
      "name": "Statens Serum Institut",
      "logo": {
        "@type": "ImageObject",
        "url": "https://example.com/ssi-logo.png"
      }
    },
    "datePublished": "2020-12-27",
    "dateModified": "2025-01-20",
    "temporalCoverage": "2020-12-27/2025-01-20",
    "spatialCoverage": {
      "@type": "Place",
      "name": "Danmark",
      "geo": {
        "@type": "GeoShape",
        "box": "54.5 8.0 57.8 15.2"
      }
    },
    "distribution": [
      {
        "@type": "DataDownload",
        "encodingFormat": "CSV",
        "contentUrl": "https://example.com/datasets/covid19-vac.csv",
        "contentSize": "15MB"
      },
      {
        "@type": "DataDownload",
        "encodingFormat": "application/json",
        "contentUrl": "https://example.com/api/datasets/covid19-vac.json"
      },
      {
        "@type": "DataDownload",
        "encodingFormat": "application/vnd.ms-excel",
        "contentUrl": "https://example.com/datasets/covid19-vac.xlsx"
      }
    ],
    "license": "https://creativecommons.org/licenses/by/4.0/",
    "citation": "Statens Serum Institut. (2025). COVID-19 Vaccination Coverage Denmark 2020-2025. https://doi.org/10.5555/12345678",
    "variableMeasured": [
      {
        "@type": "PropertyValue",
        "name": "antal_vaccinerede",
        "description": "Antal personer der har modtaget mindst én vaccine dosis",
        "unitText": "persons"
      },
      {
        "@type": "PropertyValue",
        "name": "vaccinetype",
        "description": "Type af vaccine (Pfizer, Moderna, AstraZeneca, etc.)"
      },
      {
        "@type": "PropertyValue",
        "name": "aldersgruppe",
        "description": "Aldersgruppe i 5-års intervaller"
      },
      {
        "@type": "PropertyValue",
        "name": "region",
        "description": "Danske region (Hovedstaden, Sjælland, Syddanmark, Midtjylland, Nordjylland)"
      }
    ],
    "measurementTechnique": "Data indsamlet via Danmarks Vaccinationsregister (DDV) med daglige opdateringer fra alle vaccinationssteder.",
    "includedInDataCatalog": {
      "@type": "DataCatalog",
      "name": "Danish Health Data Catalog"
    },
    "isAccessibleForFree": true,
    "inLanguage": ["da-DK", "en-US"],
    "version": "2.1",
    "funding": {
      "@type": "Grant",
      "funder": {
        "@type": "Organization",
        "name": "Sundhedsministeriet"
      }
    }
  }
  </script>
</head>
<body>
  <h1>COVID-19 Vaccination Data Danmark 2020-2025</h1>
  <p>Datasæt udgivet af Statens Serum Institut</p>
</body>
</html>

Forklaring

Dette eksempel viser Dataset schema til videnskabelige og research datasæt. Google Dataset Search bruger denne markup til at gøre datasæt søgbare og tilgængelige for forskere. Viser distribution formater, variables, temporal og spatial coverage.

Use Cases

→Videnskabelige datasæt
→Open data portaler
→Research repositories
→Offentlige datasæt
→Statistik databaser

Best Practices

✓Inkluder DOI eller persistent identifier
✓Angiv multiple distribution formats (CSV, JSON, Excel)
✓Beskriv variableMeasured i detalje
✓Specificer license (Creative Commons, MIT, etc.)
✓Tilføj temporalCoverage for tidsperiode
✓Brug spatialCoverage for geografisk område
✓Inkluder citation format
✓Angiv measurementTechnique for data indsamling
✓Opdater dateModified når data opdateres
✓Marker isAccessibleForFree hvis gratis

Quick Info

Kategori: Forskning
Sværhedsgrad: Avanceret
Use Cases: 5
Best Practices: 10

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