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.
Ruth Teitelbaum and Marlyn Meltzer programming the ENIAC, one of the first data-crunching computers. Image via Wikimedia Commons.