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UCLA Data Resources Meta-guide

Curated Collection of Data Services and Analysis Resources

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Ashley Peterson

Contact me with questions

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Ibraheem Ali

What is Data?

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.

Data Support at UCLA

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

Disciplines & Subjects Services

UCLA Library Data Science Center (DSC)


  • Social Sciences
  • Geospatial data
  • R and Python

UCLA Library Subject Specialists

Digital Research Consortium (DRC)



  • Digital Humanities
  • Architecture
  • Anthropology
  • 3D Modeling

Institute for Digital Research & Education (IDRE)


  • Statistics
  • Engineering
  • High Performance Computing

Institute for Quantitative & Computational Biosciences (The Collaboratory)


  • Bioinformatics
  • Medicine and Health
  • Data Visualization

Clinical and Translational Science Institute


  • Clinical Research
  • Statistics