{"id":78,"date":"2026-10-17T10:54:51","date_gmt":"2026-10-17T10:54:51","guid":{"rendered":"https:\/\/therisk.global\/data-compute\/?page_id=78"},"modified":"2026-10-17T10:54:51","modified_gmt":"2026-10-17T10:54:51","slug":"reproducible-pipelines","status":"publish","type":"page","link":"https:\/\/therisk.global\/data-compute\/topics\/reproducible-pipelines\/","title":{"rendered":"Reproducible pipelines"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/data-compute\/topics\/reproducible-pipelines\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n26howum.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"dag\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G-P10 \u00b7 TOPIC \u00b7 reproducible-pipelines<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Data and Compute<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Data and Compute<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Reproducible pipelines<\/h1><p class=\"nx-tagline\">A result can be trusted when others can rerun the same analysis on the same data and get the same answer, and when they can trace each number to its source. Reproducible pipelines combine versioned data and code, recorded environments, workflow systems and provenance. This page sets out why analyses fail to reproduce, how reproducibility is engineered and checked, and what evidence serves the researchers, publishers and agencies that depend on it.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/data-compute\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/data-compute\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-canvas\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Systems<\/strong> \u00b7 around this subject<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-compute-pipelines\" data-cx=\"compute.pipelines\" data-variant=\"section\" aria-label=\"Data platform and pipelines: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h2 class=\"nx-fk-title\">Data platform and pipelines<\/h2><p class=\"nx-fk-sub\">Reproducible pipelines \u00b7 Public data platform \u00b7 Catalogue v9<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Rights review open<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Data and Compute<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Datasets<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-compute-pipelines-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-compute-pipelines-t0\" aria-label=\"Datasets\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Dataset<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Licence<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Rights metadata<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Reproducible<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">State<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-compute-pipelines:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Flood extents<\/td><td>Open<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Complete<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Published<\/span><\/td><\/tr><tr data-fk-key=\"cx-compute-pipelines:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Health facility list<\/td><td>Open<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Complete<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Published<\/span><\/td><\/tr><tr data-fk-key=\"cx-compute-pipelines:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Mobility traces<\/td><td>Restricted<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Partial<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"off\"><i aria-hidden=\"true\"><\/i>n\/a<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Rights review<\/span><\/td><\/tr><tr data-fk-key=\"cx-compute-pipelines:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Household survey<\/td><td>Restricted<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Complete<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Access by request<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"bullets\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Pipeline checks<\/h4><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 98\" width=\"460\" height=\"98\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Pipeline checks\" data-fk-chart=\"bars\"><g data-m=\"row\" data-k=\"r-b0\"><text data-m=\"rlabel\" x=\"124\" y=\"19\" text-anchor=\"end\">Pinned dependencies<\/text><rect data-m=\"bar\" data-k=\"b-b0\" data-c=\"neg\" x=\"132\" y=\"4\" width=\"157.5\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b0\" x=\"295.5\" y=\"19\">76 pct \u00b7 req 100<\/text><rect data-m=\"hit\" x=\"0\" y=\"0\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b1\"><text data-m=\"rlabel\" x=\"124\" y=\"49\" text-anchor=\"end\">Deterministic outputs<\/text><rect data-m=\"bar\" data-k=\"b-b1\" data-c=\"neg\" x=\"132\" y=\"34\" width=\"187.1\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b1\" x=\"325.1\" y=\"49\">90 pct \u00b7 req 95<\/text><rect data-m=\"hit\" x=\"0\" y=\"30\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b2\"><text data-m=\"rlabel\" x=\"124\" y=\"79\" text-anchor=\"end\">Provenance recorded<\/text><rect data-m=\"bar\" data-k=\"b-b2\" data-c=\"neg\" x=\"132\" y=\"64\" width=\"198.1\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b2\" x=\"336.1\" y=\"79\">95 pct \u00b7 req 100<\/text><rect data-m=\"hit\" x=\"0\" y=\"60\" width=\"460\" height=\"30\"\/><\/g><\/svg><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Data platform and pipelines: the screen's structure, terms and states for Reproducible pipelines.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>Data platform and pipelines. Design wireframe with placeholder names and illustrative values, not a record or a live system.<\/span><\/p><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Connected activity in the contiguous\u2026<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Reproducible pipelines: how the risk\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>05<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>06<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>07<\/span>Where the evidence comes from<\/a><a href=\"#nx-sec-decisions\"><span>08<\/span>Who decides, and what the evidence\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"infrastructure\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Reproducible data pipelines are analysis workflows built so that others can rerun them on the same data and obtain the same results. They combine versioned data and code, recorded environments, automated workflows and provenance, which also lets errors be traced and corrections reach every affected output.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Connected activity in the contiguous United States.<\/h2><p class=\"nx-lede\">For reproducible pipelines, in GCRI's spatial-intelligence reading, the map opens on night lights, true-colour imagery and population density with true colour from NASA GIBS, framed on the contiguous United States; every other NASA layer, live feed and forecast waits in the layer list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"united-states:digital\" data-ml-src=\"digital\" data-ml-plan=\"p-5243a640\"><div class=\"nx-wm\" data-nx-water=\"ctx-digital\" data-wm-domain=\"ctx-digital\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-125,24.5,-66.9,49.5\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Connected activity, the contiguous United States: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl,people||||\" aria-pressed=\"false\">Lights and people<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"true||||\" aria-pressed=\"false\">True colour<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">3<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Connected activity, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"evi\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Vegetation (EVI)\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite index; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Enhanced vegetation index, rolling 8 days<\/span><span class=\"nx-wm-layer-src\">NASA LANCE MODIS Terra EVI \u00b7 <span data-wm-date=\"evi\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"evi\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ndvi\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Greenness (NDVI)\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite index; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Vegetation greenness (NDVI), rolling 8 days<\/span><span class=\"nx-wm-layer-src\">NASA LANCE MODIS Terra NDVI \u00b7 <span data-wm-date=\"ndvi\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ndvi\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" 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data-wm-xt=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For reproducible pipelines, in GCRI's spatial-intelligence reading, the map opens on night lights, true-colour imagery and population density with true colour from NASA GIBS, framed on the contiguous United States; every other NASA layer, live feed and forecast waits in the layer list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 Copernicus Sentinel-2 L2A \u00b7 NASA HLS S30<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\" target=\"_blank\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer<\/li><li>Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/li><li>Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><li>Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE \u00b7 <span data-wm-date=\"evi\">13 Oct 2026<\/span><\/li><li>Vegetation greenness (NDVI), rolling 8 days: MODIS Terra NDVI, NASA LANCE \u00b7 <span data-wm-date=\"ndvi\">13 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P10\/topics\/reproducible-pipelines\/#map\" data-nxf-title=\"Data and Compute live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"infrastructure\" data-variant=\"stack\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Reproducible pipelines: how the risk develops.<\/h2><p class=\"nx-lede\">Pipelines, models and experiment provenance. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Environments drift<\/h3><p class=\"nx-p nx-mt-1\">Software libraries, operating systems and hardware change. An analysis that ran last year may give different results, or none, without a recorded environment.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14 2v4a2 2 0 0 0 2 2h4\"\/><path d=\"M4.268 21a2 2 0 0 0 1.727 1H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3\"\/><path d=\"m9 18-1.5-1.5\"\/><circle cx=\"5\" cy=\"14\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Data versions change<\/h3><p class=\"nx-p nx-mt-1\">Datasets are corrected and updated. Unless the exact version used is recorded, results cannot be traced or rerun.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect width=\"8\" height=\"8\" x=\"3\" y=\"3\" rx=\"2\"\/><path d=\"M7 11v4a2 2 0 0 0 2 2h4\"\/><rect width=\"8\" height=\"8\" x=\"13\" y=\"13\" rx=\"2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Manual steps break chains<\/h3><p class=\"nx-p nx-mt-1\">Steps done by hand in spreadsheets or interactive sessions are not recorded and cannot be repeated exactly.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z\"\/><path d=\"m9 12 2 2 4-4\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Provenance links results to sources<\/h3><p class=\"nx-p nx-mt-1\">Recording which inputs, code and parameters produced each output lets errors be traced and corrections propagate.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Workflow system<\/td><td data-label=\"Definition\">Software that defines and runs analysis steps in order and records how outputs were produced.<\/td><\/tr><tr><td data-label=\"Term\">Container<\/td><td data-label=\"Definition\">A packaged software environment, with its libraries and settings, that runs consistently across computers.<\/td><\/tr><tr><td data-label=\"Term\">DOI<\/td><td data-label=\"Definition\">A digital object identifier that persistently identifies publications, datasets or software.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"infrastructure\" data-variant=\"stack\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Published analyses with code and data available<\/td><td data-label=\"Unit\">percent of outputs<\/td><td data-label=\"Cadence\">per audit<\/td><td data-label=\"Source type\">Publication audits<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Analyses rerun successfully by a third party<\/td><td data-label=\"Unit\">percent of attempted reruns<\/td><td data-label=\"Cadence\">per audit<\/td><td data-label=\"Source type\">Reproduction studies<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Datasets with persistent identifiers<\/td><td data-label=\"Unit\">percent of datasets<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Repository metadata<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Pipelines with recorded environments<\/td><td data-label=\"Unit\">percent of production pipelines<\/td><td data-label=\"Cadence\">per assessment<\/td><td data-label=\"Source type\">Pipeline repositories<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Corrections issued after reproduction checks<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Correction logs<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Software archived with identifiers<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Software archive records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G-P10\/topics\/reproducible-pipelines\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Reproducible pipelines as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p10-topics-reproducible-pipelines-sourc-t nx-dag-g-p10-topics-reproducible-pipelines-sourc-d\" data-nx-z=\"zVzJcuM4Ev0VBOfSHWPKxMYlouQIj63pdrRbrvbSPXWkSVhiFEWqScpLnfo45\/mI+YW5z6f0l0xg4SaJEijKNXWoEmWRiXwJ5EMiE+CHkD3lZx+WflGwLAFRODaSVzP0Z+bMXELLLNJlFORmxpZZGq6C6DFm5jJasjhKWG7m6SoLzDAtcgO8RGExHxvQNsCcRbN5Ia+V5IckKvKxscpZdrf0A3aTPOTMOPsQRFkQMxDEfs5\/5rKeIhaHBghex4ZrgOBNfGRjwxo5xunZh1Ml8ezDws8+s+wwnf0sS18M8Byxl7+lr2PDAhZwAW+IPf1jbDji4tPYIAaQzfwm4dnl9x8VRtsAaRaxpBgb\/qpIzbzws8LM2DPLBMClX8xreKrZcGz8DHiT18AFBFyLxr8IdFL6EcCZcfTM\/k8IVdsaME\/l+MtYUNQyAj959htDCllWPaioTQyQvXK9TtWD3fc9RXE8NlZZ\/N1fDhrW31dtVMot\/YTFJhdsAG5WA7yJ\/7cqYVtcAJdaC5j7UWbmBniF4rlXVD70BsUD4A2VDxbstdHyIk1SsDKj5DMSTUNXtI2pAZ7SpDDz6AsbG9AaUQPwJ00\/CeZpNjZEjxkgZtxxzHzpB1Ey4w5lEbYwzrJVkoNTEPqFb\/pJaAbpYrkqGDgFwhDMXPp5vkyzApyC7Rb7cMrbW7dUkobMLPwZWJnFo\/nohzMm9Ca2M7KF6ghWdvNQgzdc2cO40walaJP\/KoRSiJVQjEdti7gbBllEYRizbRaB3CCXk7urH6bg9mFaApvVGhSPhjJVUERpMja+pOnCjBIDZGnMxsbjqijSxACF\/xglIZNDxM8i34z9RxbL+0GUGBujfh4tBRTPdUZE2qceV4iMGszKf+AWIvtHied5I0cahuwbKN12sWxumL+W9jidadgkXRX9jMIf6LYKJSP3eFaxnRE8klX+\/Oe\/dO3yFOmbhN\/bbQ3LW7cFdrh9DrEFckbekWzx96t7XVssY\/9N2xji5k5ruNQuGaW2ByHciw6wh+u4aqQNt8fH6\/NPTYN0AHDoxtD2rAOHtmvhET6S+tfnn24e7sF\/\/wOub7eT\/CxLVxIDllOh4zVGZIPUMUISgrsLApYzhBTl4Zb+nu60BhHX\/Wp6f\/7TZJ\/WBEqqhS6u9BahQzUZQaKvN1LCPGeI5reTi5vby32ae96GwaFrHWZwaFnHMPnDXWXvdlTIwhkD8qOMDTkV5AVb8mlefnvK0sXYyLNAfS\/SsRFHgVhDzK9ZMhMQVVgJPRcgYoMLgDASV8iyACQIIEz4ZxnGmiwJDw0B62BWBIKbmMynuIrn92t02sssdIdZfvf7WAVTS+iAqfWNWKWpUT+rOC2riOFRDxb\/cbtZsCc74gIQJLoCYE8qQ5DNP7+6WfZrNMQsfHjoWYV3hNSBX30LVtmt0U6rJGIx0LCK2x4s\/mPDLM8s224W6iI1Ym0oGgXUJeLThu5RzdJhkRYEaLUwCK0rDMvldgiOQxQE15Lu5zgSigutrw8BtSBwpWsEq47B6dm2gsDnJnHp2a7wFGhZ6KgMrwWCtEGsmmMpSDvGErRcC0AXChiuhNG+wBAeF0cj5GYieO4HYz3ekDLMx5mKEwhVwSXC3qiOVm2vGWxDvG8Br8QWSqprjWT8gYjLw16d1fsZy7I0A0\/pKgmbIfaejmxzgui5\/ZwAIXUVM0FkyUtqu+\/HCrt7cR+G3Z3o0nKBgDx4rD50XVd1IbYs7S5M2AvgecQoTTqWjTzTUyZ8wjRp92VJLPzXZoikFo13In1V2uZtycYGv8xZPUv4BRsblzfTifrLAo6NS7\/wL6KCAT8JwUWW5nnGnsCCFT6\/pbwR8WiYvfhZCBJ\/wUL1dxGfj42rpPA\/M+3lrdT0BCj1ToCAujWh9pi+qrWGWjE6dfhPGytGx11Pk7blzJkfaglCdk9BjaxeSxBEHRKigBuHJ\/EUCcB6LQabQ5I0hmTbzYWcWfy2nBugyPwkf0qzxdgQl7FfsO+odYIg\/l76MwZkRAPLhACZcEQB4f\/nBPBLAEf0mQYWgCbi16b4S24Sk1\/zG7\/8jIHDbwDiBvlIzn+XgjYdJveTXC63IFiZLzZfbPFVv4KLyFrGEnIpZ3JQlH6xewFXWo54ezxvzwru8vz+\/G5yv69R1GrU1lk0nnW51Z9\/\/LsfRsfWaa7lnLsT1HISonikBjBpJNXsZlIN0v6JaejAMjdFYbtzemalb6bV6nq9bMaz87JkBj1VNBMosrGB5YDUeYKi5hN9iBi3iLhelSl6u44ClgQMBHMWfG7x8cwv2E4yTpcsAWkGMpYXWRQUFdFyAi5YtshBxoI0CwcycEvFE8D10mFhhFXGx8IDaXivJG0eriRB51AiRorLoeUdnYkRQSfQ8hQVOwDFFFBT\/DPpF23yRLZSEVlb2bPVoXoEU6EmdBiL\/nB+P9Gj0KpJ6umQ2qY39ETGM7L7m2n7lQZ5YkIVeUJsH5E8sV1W9SBx3p88hecEojWkR56YJ2G3PNGHPGmLPKvcjSKmX1Z+HBVvYtYM0meW+bN2SFv4+eedFDrzlzlP4T9GvKhekefH1WMcBeI7WMZ+wf10EIVu0\/QEcPX6MKlYEB+FSTsl9WZSjOhQJsVNMj4ik2LoVEEtnrvP7o+4P4di5G7l0M0e1Q7WKtwUD+PS+\/O7n\/pxKbZ1qi9nTbfoiYmXWfY3sM3BenEpJuRduBRT+hW5VFQdenHp2hM7uLQzD64C0Srjqyhq8hyFIipo5lS6aPT2YTq9mv7QDEYfc5Y9s5APm0UasjhuhaMsL6KFX6xHordiHtWm0baOJYFmqySJktm+nIB9tKSAfbSsgD00LUAUDb9HXoBg0koM9OZQQsnOVXy7O\/WIpgI8dDmvT55Vk3qL+W2e0BOb3jK+8ikN5qTQLZfajSU8pa205gHMSYldJkyHLeEVo3SRpx8ELCnAStFaIHIeHockF\/QO7\/5M6d7No8LjeqUA6ifo3rgXyI+mji4q27M1efv3FVtVNNnOaUvmrutcihV\/lVni\/cncXx4mD5PLBmnP\/XzeIOmwzjgcxs9Kk0ayVqHZSc02dI9EzXslaVNzJelwarZLdn8HaraR\/e3lbG1i76T7X9vVjN1cWFnvq6Ztq1b1qJ77T084etTOPVGD1R1olxs\/G6xOvBEaxuoOgeU222GsLhlnf0Qs3K0XL9dPUM18hOOQI3BxtelAknFVsVcM+FHtBz+AjJdZ+swSP6nKcpyS42gRFfkgUi5V6snKLrSOxMp7JWmzciXpcFZ2S2J\/B1Z2ofvtsbKL3Z2sXA4PPR6rzPdVablqVY+Wa0\/qCUqPnKVPatCzZ7nvQs8exl+XnoXfbaHO7ic82+5LtiELokYcu7ZBStHtai1rIRJJVRCr6HZdkODb84f7H29ur+4\/NSj3luXMz4I5kOd6omQGYsE1Ff8G0UbOgp\/O0+Zeqd4JKHU6Af6qmKdZVLztpl++k+tI5bP9orQJuBZ1eAENWorF36OCxoU3SmgIOHNo8UraM7S0KRNaasN+VwFNdaseu9R4h9bOLicXV3dXN1M90qzb1SugdThDX5B6ZTThVzpbDywXbSmf2c7gvQcQ2uqY08D6WUUsGjsQhPv0qqLx7XV9y2jbwlbS4tF6X5wiqos0472wnkbYzPxuhK2NfWoN3kz4GViQRzFLisPps9aqzPXqRK4VSQ2vl+0X1Z86B1TMKi97j5KZoM5BNbOKN7uKZnV\/9mSVr1gqq9vUq5Vt2aepC0qvVtZ0JR3GhJZVndEjR4w6IURUhZ0Dq2S6YWdNl9qFspoud1fKFlESLfylsfUIu+omlbJxG97aOENGSOPYYVvIYrFlV4P0jypfI0xZyhWHTCvBUi7sI5e66pgqpCPvPeRiMlyuTIvLSR2Wm9qPYIdyupODH6tZ\/eiSUVl7PkrfVWsUIZs4ZZBzhP5raV1JPrQH+VsyytFb7gGr5WC3eapSykGlv\/V4uQNB6u0O\/OK02yvVKVKCaq90mm+VgKj5CozdRIylfxNir01V2lMLUZUrcH\/18+T6ajrhNb+b6QTc3TzcXlQ7ATbtIK0AeUZS2IFfCDPweICbgRINANCRZEJscujsKM8y37JZlBcs26cwptaIz4pc5\/K6v9qYEvnkETS\/aG5h7FKbImeEsVS7vO6vNsVQPnkEta+bBe8utR1LDQ9x0V9hxzrS8Oi13C29ai246Wp0bSt\/2++LzOebol9LDxkbxKnJh+Lm62QaAc2akNh89LPNyc0hag5qynRdXs7eJlQPtWeN9Bb52zfh7oXviiTuUQyAbKRK922pA01ALahngG17IrXt4L2DFbwhNoAtG4jljpYVtu+B2YefWnToOKiiMU7kzhapQ8cBQnoWWCsL74UO7WHAG+ERkQc116QOBY6Rbuev1172Ykf20G5voBdT4Ra5Q\/ETrIm+Pa3sBY+dgT7fjLltSMtR35DbDb2Vantp59bKt\/e8mqW65fcXpapKvb2YckfRiFIPO7ZnWZZLsLEeAiTitQCCoKC635aRQHktgwHUCgba0OWGKfXKGFc+xGPd5vmtzROtaFcvm2nSElvqwsV6o0EZgenNb92vAqqjf0e9\/aYZ\/pMWjh7hv0PRUeL\/q+ndx8nF\/c0tD\/7vJteTi\/vJJZjeXHacc9lMnolvuVlERczaqtlrqqHNbZO8VbUDVi9Aq4S7B4eFos9ufptObltNilEeJfnYSF8Svkut0oHDewZbCrvq4OK6Lt3bYnygTi\/2BOt5g8BeTT8+3N91oI2S5Ypv0tCH62lVZERoyEL1rsF+gCkc2LsP9zsQp6uiJ+R1fbpq63xIxyxUJ6x6YkbDOnny69XlZHox6QDNlN\/1QY08bdQgW8UsB0s5K7K+2Mmw\/n6YXt9c\/NTV36skToPPvfqbaPV3O\/j7Hw==\"><title id=\"nx-dag-g-p10-topics-reproducible-pipelines-sourc-t\">Reproducible pipelines: from a source to a labelled evidence record<\/title><desc id=\"nx-dag-g-p10-topics-reproducible-pipelines-sourc-d\">A source is registered with its licence and steward, checked for quality and coverage, labelled by evidence class, versioned and published with a passport; corrections create a new version. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">DataCite and Crossref metadata<\/td><td data-label=\"What it gives\">Persistent identifiers for data, software and publications<\/td><td data-label=\"Licence class\">Open, CC0 metadata<\/td><\/tr><tr><td data-label=\"Source\">Software Heritage archive<\/td><td data-label=\"What it gives\">Archived source code with intrinsic identifiers<\/td><td data-label=\"Licence class\">Open, archive terms<\/td><\/tr><tr><td data-label=\"Source\">Zenodo and institutional repositories<\/td><td data-label=\"What it gives\">Deposited data and code with identifiers<\/td><td data-label=\"Licence class\">Open, licence per record<\/td><\/tr><tr><td data-label=\"Source\">W3C PROV standard<\/td><td data-label=\"What it gives\">A model for representing provenance<\/td><td data-label=\"Licence class\">Open standard, W3C terms<\/td><\/tr><tr><td data-label=\"Source\">Reproducibility studies in published literature<\/td><td data-label=\"What it gives\">Measured reproduction rates in fields<\/td><td data-label=\"Licence class\">Licence per publication<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P10\/topics\/reproducible-pipelines\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Data and Compute prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Research teams and analysts<\/td><td data-label=\"The question\">How to structure pipelines so results can be rerun<\/td><td data-label=\"Evidence this page serves\">Checklists; pipeline templates<\/td><\/tr><tr><td data-label=\"Who decides\">Publishers and report editors<\/td><td data-label=\"The question\">What reproducibility evidence to require<\/td><td data-label=\"Evidence this page serves\">Audit methods<\/td><\/tr><tr><td data-label=\"Who decides\">Funders and agencies<\/td><td data-label=\"The question\">Whether to fund archiving and reproducibility support<\/td><td data-label=\"Evidence this page serves\">Reproduction rate evidence<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Reproducibility checklists for analyses and reports<\/li><li>Pipeline templates with versioned data, code and environments<\/li><li>Provenance recording designs<\/li><li>Audit methods for reproduction of published results<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"infrastructure\" data-variant=\"stack\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">What experts ask about reproducibility.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Can this result be regenerated from recorded inputs, or does it depend on undocumented steps?<\/li><li>Which exact version of the data, code and model produced it?<\/li><li>If an error is found upstream, which downstream results are affected?<\/li><li>Will the pipeline still run in years, after software and hardware have changed?<\/li><li>Can a reviewer without the original team understand what each step does and why?<\/li><li>Are random seeds, model weights and configuration choices recorded with each result?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Why results become irreproducible.<\/h2><p class=\"nx-lede\">Irreproducibility is rarely deliberate. It accumulates through small, reasonable shortcuts made under deadline pressure, each harmless alone. The cost appears later, when a result is questioned, a correction is needed or a team member leaves.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"3\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M2.97 12.92A2 2 0 0 0 2 14.63v3.24a2 2 0 0 0 .97 1.71l3 1.8a2 2 0 0 0 2.06 0L12 19v-5.5l-5-3-4.03 2.42Z\"\/><path d=\"m7 16.5-4.74-2.85\"\/><path d=\"m7 16.5 5-3\"\/><path d=\"M7 16.5v5.17\"\/><path d=\"M12 13.5V19l3.97 2.38a2 2 0 0 0 2.06 0l3-1.8a2 2 0 0 0 .97-1.71v-3.24a2 2 0 0 0-.97-1.71L17 10.5l-5 3Z\"\/><path d=\"m17 16.5-5-3\"\/><path d=\"m17 16.5 4.74-2.85\"\/><path d=\"M17 16.5v5.17\"\/><path d=\"M7.97 4.42A2 2 0 0 0 7 6.13v4.37l5 3 5-3V6.13a2 2 0 0 0-.97-1.71l-3-1.8a2 2 0 0 0-2.06 0l-3 1.8Z\"\/><path d=\"M12 8 7.26 5.15\"\/><path d=\"m12 8 4.74-2.85\"\/><path d=\"M12 13.5V8\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Environments<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Software drift<\/h3><p class=\"nx-p nx-mt-1\">Libraries and dependencies change, so the same code produces different results or stops running.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Data<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Moving inputs<\/h3><p class=\"nx-p nx-mt-1\">Datasets are updated in place without versioning, so the original input cannot be recovered.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"18\" cy=\"18\" r=\"3\"\/><circle cx=\"6\" cy=\"6\" r=\"3\"\/><path d=\"M6 21V9a9 9 0 0 0 9 9\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Process<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Manual steps<\/h3><p class=\"nx-p nx-mt-1\">Undocumented manual cleaning or parameter choices cannot be repeated by others.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" class=\"nx-section\" data-hue=\"infrastructure\" data-variant=\"stack\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and limits<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How pipelines are made reproducible.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Version control<\/h3><p class=\"nx-p nx-mt-1\">Tracking code, configuration and, where possible, data versions. Limits: large datasets need specialized tools.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Containerized environments<\/h3><p class=\"nx-p nx-mt-1\">Packaging software dependencies so they can be rebuilt. Limits: containers themselves depend on underlying systems that change.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Workflow systems and provenance<\/h3><p class=\"nx-p nx-mt-1\">Tools that run pipelines and record each step, studied under <a class=\"nx-link\" href=\"https:\/\/therisk.global\/data-compute\/stem\/data-engineering\/\">data engineering, interoperability and stewardship<\/a>. Limits: adoption requires effort and discipline.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Numerical reproducibility<\/h3><p class=\"nx-p nx-mt-1\">On parallel and accelerated hardware, floating-point results can differ slightly between runs, a matter for <a class=\"nx-link\" href=\"https:\/\/therisk.global\/data-compute\/stem\/computing\/\">computing<\/a> specialists. Limits: exact bitwise reproducibility is sometimes impractical, so tolerances must be stated.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/data-compute\/stem\/data-engineering\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Data engineering, interoperability and stewardship<\/span><span class=\"nx-mledger-role\">FAIR data assessment \u00b7 Interoperable catalogues \u00b7 Data quality pipelines<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/data-engineering\/\" aria-label=\"Data engineering, interoperability and stewardship: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/data-compute\/stem\/computing\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">High-performance, cloud and edge computing<\/span><span class=\"nx-mledger-role\">Workload characterisation \u00b7 Porting codes to new architectures \u00b7 Hybrid cloud and HPC workflows<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/computing\/\" aria-label=\"High-performance, cloud and edge computing: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/data-compute\/stem\/optimization\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Optimization and operations research<\/span><span class=\"nx-mledger-role\">Job scheduling policies \u00b7 Carbon-aware workload shifting \u00b7 Capacity planning<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/optimization\/\" aria-label=\"Optimization and operations research: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Reproducing a computation does not prove the analysis is correct; it shows it is consistent. Some data cannot be shared, which limits reruns. Containers and environments also decay. Reproduction studies cover selected fields. Data and Compute reviews methods; research teams and publishers decide.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is the difference between reproducibility and replicability?<\/summary><div class=\"nx-answer\">Reproducibility usually means getting the same results from the same data and code; replicability means getting consistent results from new data, though usage varies by field.<\/div><\/details><details><summary>What is a persistent identifier?<\/summary><div class=\"nx-answer\">A long-lasting reference to a digital object, such as a DOI, that continues to resolve even if the object's location changes.<\/div><\/details><details><summary>What is data provenance?<\/summary><div class=\"nx-answer\">A record of the origin of data and every transformation applied to it on the way to a result.<\/div><\/details><details><summary>Is reproducibility the same as correctness?<\/summary><div class=\"nx-answer\">No. A wrong analysis can be perfectly reproducible. Reproducibility makes errors findable and correctable.<\/div><\/details><details><summary>Why can results differ on different hardware?<\/summary><div class=\"nx-answer\">Parallel computations can add numbers in different orders, and floating-point arithmetic is not perfectly associative, so tiny differences can arise.<\/div><\/details><details><summary>Does the platform review other teams' pipelines?<\/summary><div class=\"nx-answer\">No. It publishes patterns that teams can apply themselves.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-15\" class=\"nx-h3 nx-mt-2\">Around Data and Compute.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/data-compute\/topics\/public-interest-data-infrastructure\/\">Public interest data infrastructure <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/topics\/high-performance-computing\/\">High performance computing <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/topics\/cloud-and-edge-systems\/\">Cloud and edge systems <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/topics\/chips-and-semiconductors\/\">Chips and semiconductors <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/topics\/data-rights-and-trust\/\">Data rights and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/topics\/compute-energy-water\/\">Compute energy water <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/\">Data and Compute home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Data and Compute<\/span><h2 id=\"nx-close-16\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Data%20and%20Compute%3A%20Reproducible%20pipelines\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/data-compute\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/data-compute\/topics\/reproducible-pipelines\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/data-compute\/topics\/reproducible-pipelines\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is the difference between reproducibility and replicability?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Reproducibility usually means getting the same results from the same data and code; replicability means getting consistent results from new data, though usage varies by field.\"}},{\"@type\":\"Question\",\"name\":\"What is a persistent identifier?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A long-lasting reference to a digital object, such as a DOI, that continues to resolve even if the object's location changes.\"}},{\"@type\":\"Question\",\"name\":\"What is data provenance?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A record of the origin of data and every transformation applied to it on the way to a result.\"}},{\"@type\":\"Question\",\"name\":\"Is reproducibility the same as correctness?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. A wrong analysis can be perfectly reproducible. 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