Open Data Sources

A curated GitHub repository listing open data sources across government, academic, and non-governmental organizations for data science and research.

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Last Updated

Oct 01, 2026

Overview

What is Open Data Sources?

Open Data Sources is a GitHub repository that curates lists of publicly available datasets. It includes governmental data (Data.gov, US Census, Africa Open Data), non-governmental organization data (World Bank, Pew Research Center), academic data (ICPSR, economic surveys), and truly random datasets (Jeopardy questions, cat images). The repository also provides resources like Reddit r/datasets and Stack Exchange discussions. It follows the Open Knowledge Foundation's definition of open data: free

What is Open Data Sources used for?

Global Open Data

Top Features

Curated lists of open data sources
Categorized by government, academic, NGO, and random data
Links to datasets from AWS, World Bank, US Census, and more
Includes resources like Reddit r/datasets and Stack Exchange
Open source under MIT license

How to use Open Data Sources?

Visit the GitHub repository at datasciencemasters/data. Browse the README for categorized lists of data sources. Click on links to access datasets directly from their providers. Use the repository as a reference for finding open data for your projects. You can also contribute by submitting pull requests to add new sources.

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Pros & Cons

Pros

Comprehensive collection of open data sources
Free and open source
Well-organized categories
Community-contributed and maintained

Cons

Last updated in 2015, may have outdated links
No built-in search or filtering
Requires manual browsing of README

Use Cases

Finding datasets for data science projects
Research and academic studies
Machine learning model training
Data journalism and analysis
Government and policy research