Data Storytelling Atlas
Data Storytelling Atlas is a fictional OPF example for data storytelling teams. It demonstrates a realistic presentation structure with catalog-backed design and content payloads.
Metadata
Source JSON
{
"$schema": "https://openpresentation.org/schema/opf/v1",
"name": "Data Storytelling Atlas",
"description": "Data Storytelling Atlas is a fictional OPF example for data storytelling teams. It demonstrates a realistic presentation structure with catalog-backed design and content payloads.",
"filename": "data-storytelling-atlas",
"language": "english-ca",
"audience": [
"regulators",
{
"id": "candidates",
"attentionBudgetMinutes": 26,
"technicalFluency": "high",
"decisionPower": "decision-maker",
"recommendedNarratives": [
"persuasive-sales"
],
"recommendedTones": [
"authoritative"
]
}
],
"purpose": {
"id": "sell",
"outcome": "Show regional patterns with maps, charts, and concise interpretation",
"successCriteria": [
"The audience can state the decision in one sentence.",
"The owner and next checkpoint are explicit."
]
},
"tone": {
"id": "authoritative",
"voiceCues": [
"Make the decision visible.",
"Use concrete operating language."
],
"avoid": [
"Do not bury the ask.",
"Do not over-explain obvious context."
]
},
"narrative": {
"id": "persuasive-sales",
"description": "Data Storytelling Atlas uses a compact evidence-to-decision arc for Civic Data Lab.",
"beats": [
{
"id": "context",
"name": "Context",
"slideType": "text",
"layoutHint": "text-1x"
},
{
"id": "evidence",
"name": "Evidence",
"slideType": "chart",
"layoutHint": "chart-1x"
},
{
"id": "commitment",
"name": "Commitment",
"slideType": "list",
"layoutHint": "list-3x"
}
]
},
"design": {
"theme": "dark",
"colorScheme": {
"id": "black-and-white",
"primary": "#8C4107",
"secondary": "#AB1036",
"accent": "#6B27D5",
"background": "#FFFFFF",
"text": "#0F172A",
"dark1": "#0F172A",
"dark2": "#334155",
"light1": "#FFFFFF",
"light2": "#F8FAFC",
"custom": {
"signal": "#334155",
"risk": "#0369A1"
}
},
"fontScheme": {
"id": "consolas",
"heading": {
"family": "Aptos Display",
"weight": 700
},
"body": {
"family": "Aptos",
"weight": 400
},
"code": {
"family": "Consolas",
"weight": 400
}
},
"dimensions": "4:3",
"background": "#F8FAFC",
"titleAlignment": "right",
"contentAlignment": "left",
"contentBox": false,
"contentDirection": "horizontal",
"chartPrimary": "top",
"imageFill": "crop",
"listBullet": "character",
"logo": "asset:brand-logo",
"watermark": {
"src": "asset:watermark",
"opacity": 0.06
},
"header": {
"left": {
"section": true
},
"right": {
"image": "asset:brand-icon"
}
},
"footer": {
"left": {
"organization": true
},
"center": {
"text": "Internal planning draft"
},
"right": {
"slideNumber": true
}
},
"slideImage": {
"src": "asset:cover-bg",
"position": "left"
}
},
"slides": [
{
"id": "s1",
"section": "Opening",
"layout": "title-subtitle",
"tag": "Data storytelling",
"title": "Data Storytelling Atlas",
"subtitle": "Civic Data Lab Data storytelling",
"notes": "Open by naming the decision: Show regional patterns with maps, charts, and concise interpretation."
},
{
"id": "s2",
"section": "Context",
"layout": "text-3x",
"title": "Why This Matters",
"text": [
"Civic Data Lab should focus the next cycle on ",
{
"text": "show regional patterns with maps, charts, and concise interpretation",
"bold": true,
"color": "#8C4107"
},
" while making the operating tradeoffs clear to data storytelling stakeholders."
]
},
{
"id": "s3",
"section": "Evidence",
"layout": "chart-3x",
"title": "Signal Trend",
"type": "chart",
"chart": {
"type": "bullet-column",
"data": {
"columns": [
"Quarter",
"Current",
"Baseline"
],
"rows": [
[
"Q1",
25,
22
],
[
"Q2",
29,
24
],
[
"Q3",
32,
26
],
[
"Q4",
36,
28
]
]
}
}
},
{
"id": "s4",
"section": "Options",
"layout": "table-1x",
"title": "Decision Options",
"table": {
"columns": [
"Workstream",
"Owner",
"Status",
"Decision"
],
"rows": [
[
"Data storytelling",
"Program lead",
"At risk",
"Continue"
],
[
"Data and reporting",
"Analytics",
"On track",
"Tighten metric definitions"
],
[
"Field adoption",
"Operations",
"Watch",
"Add weekly office hours"
]
]
}
},
{
"id": "s5",
"section": "Plan",
"layout": "text-2x",
"title": "Execution Timeline",
"type": "timeline",
"timeline": {
"name": "Data storytelling execution path",
"description": "Major milestones for Civic Data Lab.",
"events": [
{
"when": "Jul",
"what": "Baseline",
"description": "Confirm current state, owners, and constraints."
},
{
"when": "Aug",
"what": "Pilot",
"description": "Run a narrow pilot with visible success criteria."
},
{
"when": "Sep",
"what": "Scale",
"description": "Expand the approach after risk review."
},
{
"when": "Oct",
"what": "Embed",
"description": "Move reporting and routines into steady-state operations."
}
]
}
},
{
"id": "s99-regions",
"section": "Operating model",
"layout": "number-3x",
"title": "Operating Model",
"top:left": {
"metric": {
"value": "11 days",
"label": "Primary signal",
"description": "Show regional patterns with maps, charts, and concise interpretation",
"trend": "down"
}
},
"top:center+right": {
"text": [
"Civic Data Lab should focus the next cycle on ",
{
"text": "show regional patterns with maps, charts, and concise interpretation",
"bold": true,
"color": "#8C4107"
},
" while making the operating tradeoffs clear to data storytelling stakeholders."
]
},
"middle+bottom:left": {
"quote": {
"text": "The path is workable if we keep the metric simple and the decision owner visible.",
"attribution": "Data storytelling working group",
"source": "Stakeholder interview"
}
},
"middle+bottom:center+right": {
"table": {
"columns": [
"Workstream",
"Owner",
"Status",
"Decision"
],
"rows": [
[
"Data storytelling",
"Program lead",
"At risk",
"Continue"
],
[
"Data and reporting",
"Analytics",
"On track",
"Tighten metric definitions"
],
[
"Field adoption",
"Operations",
"Watch",
"Add weekly office hours"
]
]
}
},
"notes": "Use this slide to slow the conversation down around ownership and operating rhythm."
},
{
"id": "s99-blocks",
"section": "Evidence",
"layout": "number-4x",
"title": "Evidence Pack",
"blocks": [
{
"chart": {
"type": "dot-plot-3x",
"data": {
"columns": [
"Quarter",
"Current",
"Baseline"
],
"rows": [
[
"Q1",
17,
14
],
[
"Q2",
21,
16
],
[
"Q3",
24,
18
],
[
"Q4",
28,
20
]
]
}
}
},
{
"quote": {
"text": "Teams already know where the friction is; the deck makes the sequence of choices explicit.",
"attribution": "Program sponsor",
"source": "Planning interview"
}
},
{
"metric": {
"value": 91,
"unit": "%",
"delta": "+6 pts",
"trend": "up",
"label": "Illustrative result"
}
}
]
},
{
"id": "s99-image",
"section": "Context",
"layout": "image-2x",
"title": "Field Context",
"type": "image",
"image": {
"src": "asset:supporting-photo",
"alt": "Data storytelling context photo for Civic Data Lab",
"title": "Data storytelling context"
},
"notes": "Use the image as context, not decoration."
},
{
"id": "s99-code",
"section": "Appendix",
"layout": "code-1x",
"title": "Decision Rule",
"code": {
"source": "const score = urgency * confidence;\nif (score >= threshold) {\n routeToSponsor(workstream);\n} else {\n keepInWeeklyReview(workstream);\n}",
"language": "ts",
"filename": "data-storytelling-atlas-rule.ts"
},
"hidden": false
},
{
"id": "s10",
"section": "Close",
"layout": "list-6x",
"title": "Decision and Follow Through",
"items": [
[
"Commit to ",
{
"text": "show regional patterns with maps, charts, and concise interpretation",
"bold": true
}
],
{
"text": "Name the sponsor and operating owner.",
"description": "Keep one person accountable for momentum."
},
{
"text": "Publish the progress rhythm.",
"description": "Use the same metric definitions every week."
},
{
"text": "Return with proof.",
"description": "Bring customer, employee, resident, or learner evidence into the next review."
}
]
}
],
"organization": [
{
"id": "civic-data-lab",
"name": "Civic Data Lab",
"logo": "asset:brand-logo",
"domain": "civic-data-lab.example",
"email": "hello@civic-data-lab.example",
"tagline": "Show regional patterns with maps, charts, and concise interpretation",
"role": "primary",
"socials": {
"x": "@civic-data-lab"
}
},
{
"id": "civic-data-lab-partner",
"name": "Data Storytelling Partner Office",
"role": "partner",
"domain": "partner-civic-data-lab.example"
}
],
"speaker": {
"id": "speaker",
"name": "Samira Okafor",
"title": "Chief of Staff",
"organizationId": "civic-data-lab",
"bio": "Leads data storytelling planning for Civic Data Lab.",
"socials": {
"x": "@civic-data-lab-speaker"
}
},
"author": "OPF Example Generator",
"takeaway": "Show regional patterns with maps, charts, and concise interpretation",
"duration": 31,
"tags": [
"design-and-media",
"data-storytelling",
"sell",
"authoritative",
"dense"
],
"assets": {
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",
"alt": "Data storytelling background image",
"mediaType": "image/png",
"description": "Original abstract demonstration artwork for this fictional organization. MIT licensed with OpenPresentation/opf; generated by scripts/gallery-artwork.mjs (v1). No fonts or external images are used."
},
"supporting-photo": {
"src": "./assets/civic-data-lab-field-photo.jpg",
"alt": "Data storytelling field context",
"mediaType": "image/jpeg"
},
"demo-video": {
"src": "./media/civic-data-lab-demo.mp4",
"title": "Data storytelling walkthrough",
"mediaType": "video/mp4"
},
"metric-data": {
"src": "./data/data-storytelling-atlas.csv",
"format": "csv",
"title": "Data Storytelling Atlas data"
},
"watermark": {
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"mediaType": "image/png",
"description": "Original abstract demonstration artwork for this fictional organization. MIT licensed with OpenPresentation/opf; generated by scripts/gallery-artwork.mjs (v1). No fonts or external images are used."
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