Nasjonal oversikt

Datagrunnlaget dekker kun artikler som er rapportert i NVI-sammenheng og inkluderer ikke bøker, eller konferansebidrag i serier uten ISSN. Publikasjoner telles unikt innenfor valgt sektor og fagområde. En artikkel med forfattere fra flere sektorer telles derfor én gang i hver sektor, men bare én gang i totalen for hele Norge. Prosentberegningen av åpen andel baseres på andelen artikler som er åpent tilgjengelige (alle kategorier unntatt deponert og lukket). For å lese mer om utvalg og beregningsmåter, se metodebeskrivelsen.

Utforsk utviklingen

Filtrene styrer både figuren og tabellen. Hold musepekeren over søylene for detaljer.

oa = (new Function("u", "return import(u)"))(new URL("assets/js/oa-chart.js", document.baseURI).href)
// typed: true makes d3 coerce year/total to numbers instead of strings
cube = FileAttachment("data/oa_national_aggregated.csv").csv({typed: true})
cubeYears = [...new Set(cube.map((d) => d.year))].sort((a, b) => a - b)
// Filter options come from the data, not a hardcoded list, so a new sector or
// discipline out of the pipeline appears by itself. `known` only fixes the
// display order of the levels we already know; anything else is appended.
sectorOptions = {
  const known = ["all", "higher_education", "institute", "health", "archives_libraries_museums"];
  const inData = [...new Set(cube.map((d) => d.sector))];
  return [...known.filter((s) => inData.includes(s)),
          ...inData.filter((s) => !known.includes(s)).sort()];
}
disciplineOptions = {
  const known = ["all", "natural_sciences_engineering", "health_sciences", "social_science", "humanities"];
  const inData = [...new Set(cube.map((d) => d.discipline))];
  return [...known.filter((s) => inData.includes(s)),
          ...inData.filter((s) => !known.includes(s)).sort()];
}

// Filter inputs. Each `viewof` defines the named value used elsewhere on the
// page; `format` keeps the English data values behind Norwegian labels.
viewof natSector = Inputs.select(sectorOptions, {
  value: "all",
  label: "Sektor",
  format: oa.labelFor(oa.SECTOR_LABELS)
})

viewof natDisc = Inputs.select(disciplineOptions, {
  value: "all",
  label: "Fagområde",
  format: oa.labelFor(oa.DISCIPLINE_LABELS)
})

// Absolute counts vs 100 % stacked shares. Drives the figure, the table cells
// and the CSV export together, so the two always agree.
viewof natMode = Inputs.radio(
  new Map([["Antall", "abs"], ["Prosent", "pct"]]),
  {value: "abs", label: "Visning"}
)

// Custom two-ended slider (Observable has no built-in range input). Bounds
// follow the data, so the range extends by itself after an annual update.
viewof natYears = oa.yearRangeInput({
  min: cubeYears[0],
  max: cubeYears.at(-1),
  label: "År"
})

// Disabled for now. To re-enable: move this cell back inside the
// ::: {.oa-controls} block above, uncomment the input and delete the
// constant - the constant holds the input's former default.
// viewof natLabels = Inputs.toggle({label: "Vis verdier", value: true})
natLabels = true

// Disabled for now. To re-enable: move this cell back inside the
// ::: {.oa-controls} block above, uncomment the input and delete the
// constant - the constant holds the input's former default.
// viewof natCats = Inputs.checkbox(oa.OA_ORDER, {
//   value: oa.OA_ORDER,
//   label: "Kategorier",
//   format: oa.labelFor(oa.OA_LABELS)
// })
natCats = oa.OA_ORDER

natRows = cube.filter((d) => d.sector === natSector && d.discipline === natDisc)
// Subtitle names the active filters, omitting the ones left at "all"
natSubtitle = [
  `NVI ${natYears[0]}–${natYears[1]}`,
  natSector === "all" ? null : `Sektor: ${oa.SECTOR_LABELS[natSector] ?? natSector}`,
  natDisc === "all" ? null : `Fagområde: ${oa.DISCIPLINE_LABELS[natDisc] ?? natDisc}`
].filter(Boolean).join(" · ")

oa.oaChartCard(Plot, {
  data: natRows,
  mode: natMode,
  categories: natCats,
  yearFrom: natYears[0],
  yearTo: natYears[1],
  showLabels: natLabels,
  width: Math.min(width, 960),
  title: natMode === "pct"
    ? "Distribusjon av åpen tilgang-artikler (%)"
    : "Distribusjon av åpen tilgang-artikler",
  subtitle: natSubtitle
})

Tabell

// The table mirrors the figure: same filters, same numbers, one row per year.
// Pivots the long CSV rows (one per year x status) into one wide row per year.
natTable = {
  const cats = oa.OA_ORDER.filter((c) => natCats.includes(c));
  const byYear = new Map();
  for (const d of natRows) {
    if (d.year < natYears[0] || d.year > natYears[1] || !cats.includes(d.status)) continue;
    if (!byYear.has(d.year)) {
      const row = {year: d.year};
      for (const c of cats) row[c] = 0;
      byYear.set(d.year, row);
    }
    byYear.get(d.year)[d.status] += d.total;
  }
  return [...byYear.values()]
    .map((r) => {
      // "open" = every category except closed and deposited; deposited is a
      // waiting room (uploaded but not yet released), so it is not open access
      const total = cats.reduce((s, c) => s + r[c], 0);
      const open = total - (r.closed ?? 0) - (r.deposited ?? 0);
      const out = {year: r.year};
      for (const c of cats) {
        out[c] = natMode === "pct"
          ? (total ? Math.round((r[c] / total) * 1000) / 10 : 0)
          : r[c];
      }
      out.total = total;
      out.open_share = total ? (open / total) * 100 : 0;
      return out;
    })
    .sort((a, b) => a.year - b.year);
}

// Exports exactly what the table currently shows (filters, year range and
// Antall/Prosent all apply). Column names are English; see oa.downloadCsv.
viewof natTblDownload = Inputs.button("Last ned CSV", {
  label: "Eksport",
  reduce: () => oa.downloadCsv(
    natTable,
    [
      {key: "year", header: "year"},
      ...oa.OA_ORDER.filter((c) => natCats.includes(c)).map((c) => ({
        key: c,
        header: natMode === "pct" ? `${c}_pct` : c,
        ...(natMode === "pct"
          ? {value: (r) => r[c].toFixed(1).replace(".", ",")}
          : {})
      })),
      {key: "total", header: "total"},
      {key: "open_share", header: "open_share_pct", value: (r) => r.open_share.toFixed(1).replace(".", ",")},
    ],
    `oa-barometer_national_${natYears[0]}-${natYears[1]}.csv`
  )
})

// Keys stay English (they come from the data); `header` supplies the Norwegian
// column names, and `format` renders each cell.
Inputs.table(natTable, {
  columns: ["year", ...oa.OA_ORDER.filter((c) => natCats.includes(c)), "total", "open_share"],
  header: {
    year: "år",
    ...Object.fromEntries(oa.OA_ORDER.map((c) => [c, oa.OA_LABELS[c]])),
    total: "totalt",
    open_share: "andel_åpen"
  },
  format: {
    year: (d) => String(d),
    ...Object.fromEntries(oa.OA_ORDER.map((c) => [
      c,
      natMode === "pct" ? (d) => `${oa.fmtPct1.format(d)} %` : oa.fmtNo.format
    ])),
    total: oa.fmtNo.format,
    open_share: (d) => oa.pctBarCell(d)
  },
  width: {open_share: 110},
  sort: "year",
  rows: 20,
  layout: "auto"
})

Hele datagrunnlaget aggregert til nasjonalt nivå kan lastes ned her: oa_national_aggregated.csv.