What is Open Data?¶
Understanding the open data movement in India and why it matters for everyone.
The Problem: Data Exists, But It's Hidden¶
Imagine you want to know: "How many villages in Maharashtra have no school within 2 km?"
The answer exists — in multiple government databases. But finding it, getting it, and combining it takes a researcher weeks of work: filing RTI applications, calling officials, visiting offices, and piecing together Excel files in different formats.
Open data solves this. It means government data is published online, freely available to anyone, without needing permission — ready to download, analyse, and use.
What Makes Data "Open"?¶
Data is truly open when it meets three conditions:
The Three Conditions of Open Data
- Freely available — No cost to access or download
- Machine-readable — In a format a computer can process (CSV, JSON, Shapefile), not just a scanned PDF
- No restrictions on use — You can use it for research, journalism, business, or public benefit
Many government publications are available but not truly open — they are scanned PDFs, locked tables, or require special permissions. This book focuses on datasets that are as open as possible.
India's Open Data Journey¶
| Year | Milestone |
|---|---|
| 2012 | National Data Sharing and Accessibility Policy (NDSAP) — India's first open data policy |
| 2012 | Launch of data.gov.in — Central open data portal |
| 2014 | Bhuvan geoportal opened to public with free satellite imagery |
| 2015 | Digital India programme — massive push for e-governance data |
| 2017 | Census Primary Census Abstracts made available online (village-level) |
| 2020 | NDAP (National Data and Analytics Platform) launched by NITI Aayog |
| 2023 | India Data Portal (IndiaDataHub) — curated datasets for researchers |
| 2024 | AI Kosh launched by CDAC for AI-ready datasets |
India has made significant progress. Today, thousands of datasets are available online — this book is your guide to finding and using them.
Why Open Data Matters¶
- Find real data for your thesis or project — for free
- Learn analysis on actual, meaningful datasets
- Publish credible research backed by primary government sources
- See district-level performance data without waiting for reports
- Compare your district to others on health, education, infrastructure
- Make evidence-based decisions in real-time
- Build apps using real India data (maps, dashboards, APIs)
- Create tools that serve millions of Indians
- Access API endpoints to power live applications
- Hold governments accountable with public data
- Identify underserved communities and advocate for resources
- Understand India's diversity in depth
The Open Data Ecosystem in India¶
Think of India's data landscape like a library with many floors:
📚 India's Open Data Library
🏛️ Floor 1 — National Level
• Census of India (RGI)
• MOSPI (Ministry of Statistics)
• data.gov.in (MeitY)
🛰️ Floor 2 — Geospatial Data
• Bhuvan (ISRO/NRSC)
• Survey of India (SOI)
• Google Earth Engine
🌾 Floor 3 — Sector-Specific
• IMD (Weather)
• FSI (Forests)
• CGWB (Groundwater)
• DAC (Agriculture)
💻 Floor 4 — APIs & Services
• data.gov.in API
• Bhuvan OGC (WMS/WFS)
• WRIS Web Services
• AI Kosh (CDAC)
This book is your map of that library — telling you exactly which floor, which shelf, and which drawer to open for each type of data.
What You Cannot Find Here¶
To be clear about scope, this book covers open-source and freely accessible data. It does not cover:
- Proprietary satellite imagery (Planet, Maxar) — these require purchase
- Restricted government data requiring RTI applications
- Real-time commercial data (Airtel network coverage, Jio data)
- Data behind paywalls (IHS, Euromonitor, etc.)
Key Takeaway
India has more open data than most people realise. The challenge is knowing where to look. That's exactly what the next chapters will show you.
Next: Access Levels Guide →