Library Services for Social Science Data

Working with Social Science Data?

The UC Davis Library provides a variety of services to faculty, students and researchers who are working with numeric and structured social science data.

We can help you

  • Discover, evaluate, and acquire data sources, including GIS data.
  • Solve technical data issues, such as file format conversion problems, and data extraction.
  • Analyze and visualize data.
  • Manage, publish, and preserve data.

To inquire about our services contact:

David Michalski, Researcher Services | UC Davis Library

Visit our Social Sciences Data Resources subject guide

Or submit your inquiry online:

Ask Us

  • We will respond to your request to the e-mail address you provide.
  • Enter your question or request a consultation.

In addition to these Library Services, which we offer to the campus, The Computational Research Service (CRS, formerly the Social Science Data Service or SSDS) provides quantitative computing, consulting and data services for the social sciences. As part of the College of Letters and Science, the CRS provides cost effective, specialized resources in support of quantitative social scientists.

Researcher Services

Researcher Services provides assistance to those seeking to discover, evaluate and interpret data sources, including those listed on our Social Science Data Resources subject guide.

Researcher Services librarians can support you as you seek to discover information, organize knowledge, and solve problems. Let us help you make informed research choices. Use this directory to find a librarian assigned to your subject area of research:  Contact a Librarian. Librarians are also listed on these Subject Guides.



DataLab offers a variety of services to facilitate the application of data science methods and best practices.

DataLab provides training, advice and collaboration services to UC Davis researchers at all stages of their career  including:

  • Developing research questions and proposals
  • Using data science tools
  • Obtaining, accessing and sharing data
  • Cleaning, transforming, and structuring data for analysis
  • Data management, curation, security, and privacy
  • Data analysis via statistical and machine learning and modeling
  • Visualization for exploratory data analysis and presentation of results
  • Geospatial data services: GIS and cartography
  • Computational issues
  • Reproducibility and provenance
  • Other data science education and implementation resources at UC Davis

DataLab hosts free workshops throughout the year on these and other topics to help researchers (students, faculty and academics) obtain technical skills and access methods for elevating data-driven research.

Office Hours and Consultations | (530) 752‑1138


Data Management Services

Best practices in Data Management ensure key data are easily discoverable and accessible for the benefit of researchers. To learn more about how to manage, share, publish and preserve your data.

Here are a set of guides to help you Plan, Describe, and Share, Publish  and Preserve your data.

For assistance fill in the Question Form above, or write us at:

Develop a Plan

Describe your Data

Publish, Share, or Preserve your Data