Awesome Data – Social Sciences
URL: https://github.com/awesomedata/apd-core/tree/master/core/SocialSciences
Category: Themed Directories
Tags: datasets, social, research
Brand: awesome-data
Overview
Awesome Data – Social Sciences is a curated subset of the broader Awesome Data project, focused specifically on open datasets for the social sciences. It aggregates high-quality, research-grade data sources related to politics, law, society, religion, conflict, and violence, serving as a meta-directory for researchers, analysts, and practitioners.
Features
- Curated subset of Awesome Data: Part of the larger Awesome Data ecosystem, but scoped to social sciences topics.
- Focus on social science domains:
- Political conflict and international relations
- Legal and judicial information
- Public opinion and survey research
- Religion and belief data
- Violence, conflict, and security datasets
- Collection of major social science datasets: Includes references to widely used resources such as (examples mentioned):
- ACLED (Armed Conflict Location & Event Data)
- Correlates of War
- GDELT (Global Database of Events, Language, and Tone)
- General Social Survey (GSS)
- Meta-directory structure: Functions as an "awesome-style" list, linking out to primary dataset providers rather than hosting data itself.
- Open data orientation: Emphasis on openly accessible, high-quality datasets suitable for academic and applied research.
- For researchers and practitioners: Organized to support use in empirical research, policy analysis, and data-driven social science projects.
Data & Content Types
- Event-level political conflict data (e.g., protests, violence, wars)
- Country- and dyad-level conflict and war data
- Large-scale public opinion and social survey datasets
- Legal and institutional data (laws, court decisions, legal systems)
- Religion and belief system indicators
- Violence and security-related metrics and event records
Use Cases
- Academic social science research and replication
- Policy and governance analysis
- Conflict and peace studies
- Survey-based social and behavioral analysis
- Building training/evaluation datasets for social-science-related ML models
Pricing
- Not applicable (GitHub-based curated list of open datasets; no pricing information provided).
