UCLA Data Resources Meta-guide

When it comes to research, "data" refers to an analyzable body of information associated with a particular discipline. 

• For researchers in STEM fields, examples of data could include observations of natural phenomena, collections of testable hypotheses, or genetic sequencing information.
• For researchers in social sciences, examples of data could include geospatial coordinates, survey results, demographic information, or a body of social media posts.
• For researchers in the humanities, examples of data could include digitized texts, a collection of images, or an archive of personal correspondence.

Increasingly, using data in your research requires computational methods to organize, summarize, and visualize information. This guide provides resources for finding support in this process.

Here are some key UCLA resources that provide data support across disciplines.

Finding and Creating Datasets

• Find Data from Data Visualization
• Datasets from Semantic Web and Linked Data
• Data Repositories from Health Data & Statistics
• Social Science Data Archive at Dataverse
• ICPSR Health Data
• Text and Data Mining
• Social Statistics and Data
• Finding Data Sources

Data Management and Analysis

• Data Management for the Social Sciences
• Data Management for the Humanities
• Data Management for the Sciences
• Data Visualization
• Semantic Web and Linked Data
• Scholarly APIs