The following questions will assist in defining your data needs, which assists in search.
Who or What: The population you want to study
When: The time period of study
Where: Geography or place
Use the following search strategies independently or in combination in order to find data.
Data Archives or Repository: Places that aggregate data or collect in a particular subject area of interest
Potential Producers: Who might collect or publish the data of interest?
Governments: Governments collect data to aid in policy decisions and is the largest producer of data overall. This data is typically organized by entity or division (e.g., U.S. Census Bureau, Federal Election Commission, state of Indiana, etc.). Government data is typically free and publicly available but may require access through library resources or special requests.
Non-government Organizations: Many independent non-commercial and nonprofit organizations (e.g., International Monetary Fund, United Nations, World Health Organization) collect and publish data to do their work or support their social platform. Duke Libraries NGO database identifies many NGOs and provides contact information. Data from NGOs may be free or fee-based; the IUB Libraries subscribe to many NGO data resources, so be sure to check if we have access.
Academy: Academic research projects funded by public and private foundations create a wealth of data (e.g., Indiana Geospatial Data Portal, American National Election Studies). Much of this type of data is free and publicly available, but may require access through library resources. Access to smaller original research projects may be dependent upon contacting individual researchers.
Private: Commercial firms (e.g., marketing firms, pollsters, trade organizations, etc.) collect and publish data as a paid service to clients or to sell broadly. This information is almost always is fee-based and may not always be available for public release. The library does subscribe to some commercial data services.
Literature: Find research studies that have done secondary analysis of data sets
Statistics > Data: Search for statistics that come from a broader data source
Carefully evaluate found data in order to determine credibility and appropriateness for purpose.