Subject Guides
- Binghamton University Libraries
- Subject Guides
- Subject Guides
- Data Analytics
- Sources of Big Data
Data Analytics
Guide Contents
Big Data Resources
- Wharton Research Data Services (WRDS)The interface used to access the Compustat, CRSP, and other large financial and economic data files. Use of these files requires registration and is strictly restricted to Binghamton University faculty and students. A full listing of WRDS databases is listed on the WRDS page.
- ICPSR (Inter-university Consortium for Political and Social Research) Data ArchiveProvides access to a vast archive of social science data for research and instruction. For more information see Data Services for Social Sciences.
- International Financial Statistics OnlineStatistics on all aspects of international and domestic finance from 200+ IMF countries. Contains approximately 32,000 time series of financial and economic data.
- Cross-National Time-Series Data ArchiveCovering over 200 countries and hundreds of variables, including measurements for Domestic Conflict Events, Assassinations, General Strikes, Terrorism/Guerrilla Warfare, Major Government Crises, Purges, Riots, Revolutions, and Anti-government Demonstrations. Covers from 1815-present, with exceptions for World Wars.
- OECD Social Expenditure Statistics
Includes internationally comparable statistics on public and private social expenditure at program level.
- EurostatLeading provider of high quality statistics on Europe. Allows bulk downloads.
- UNDataSearch and download data collected by various groups across the United Nations from one interface.
- Awesome Public Data SetsHosted by GitHub, this lists datasets by subject, e.g., Climate, Education, Healthcare, etc.
- SAGE Data
A dynamic repository of officially sourced statistical data that is multi-disciplinary and global in scope.
- Alpha Vantage Open Stock APIFree programmatic access to US and international financial and economic datasets including stocks, ETFs, mutual funds, foreign exchange rates, cryptocurrencies, and 50+ derived technical indicators. Spreadsheet access through Excel and/or Google Sheet is also supported. Requires (free) registration.
Subject Librarian
Colleen Hailey
Contact:
Office 1528, Bartle Library, last one on left in the Reference area.
607-777-2621
chailey@binghamton.edu
607-777-2621
chailey@binghamton.edu