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Berkeley is home to a rich and diverse set of data-related resources housed in a variety of settings. We are developing listings of computing labs, consulting services, research centers, library facilities, and other resources. Below are a few of them. Please e-mail us to suggest further listings.

Resource Description

UCDATA is UC Berkeley's principal archive of digitized social science data and statistics. Our goal is to support the social science data needs of UC Berkeley researchers by helping them find and use the data they need for their research.


The California Census Research Data Center is a partnership between the University of California at Berkeley and the Census Bureau in which approved researchers can access and analyze unpublished microdata collected or held by the Census Bureau, NCHS, and AHRQ.

Library Data Lab

The Data Lab, located in Doe Library, provides consultation, access to analytical software, and public workstations.

Social science computing labs

D-Lab operates two labs in the basements of Barrows and Evans Halls. While we plan for their renovation, they will continue to be run as previously operated by SSCL. Barrows 64 is available for D-Lab-related instruction (e.g., MOOC facilitation) and for graduate teaching, including class lab sections. Evans B3 is a drop-in laboratory for D-Lab graduate users.

Geospatial Innovation Facility

The Geospatial Innovation Facility provides leadership and training across a broad array of integrated mapping technologies. These technologies include Remote Sensing, Geographic Information Systems (GIS), Global Positioning Systems (GPS), and modeling. GIF provides workshops, consulting, computer labs with GIS software, equipment rentals, and guides to resources.

Experimental Social Science Laboratory

The Xlab is an interdisciplinary facility for conducting experiment-based investigations of issues of interest to social scientists. The Xlab is conveniently located in the Haas School of Business.

Statewide Database

The Statewide Database (SWDB) is the redistricting database for the state of California. In 2001 and 2011, these data were used for state legislative and local redistricting following the decennial Census as mandated by law. Data collection and processing for the redistricting are ongoing tasks conducted over a ten year period of time, starting with the collection of the census at the beginning of each decade. With each election between redistrictings, updated data sets are available as a free, public resource as soon they are processed.

SIEPR-Giannini Data Center

The SIEPR-Giannini Data Center is a joint project between Stanford University and University of California, Berkeley archiving and documenting existing data sets. It aims at connecting existing projects, providing commonly used resources, and making data more easily accessible for future projects.

Thomas J. Long Business Library

The Thomas J. Long Business Library houses the major collection of business administration materials on the University of California Berkeley campus" and provides access to a extensive set of electronic resources (http://www.lib.berkeley.edu/BUSI/databases_A-Z.htm)
The library's entry level is devoted to public services including circulation and reserves services
The Steven V. White Business Information Center, which provides reference and research assistance to the library's clients and a variety of networked and other public-access online information workstations.

Knight Digital Media Center

The Knight Digital Media Center helps journalists succeed in the rapidly changing media landscape of the 21st Century. Its goal is to provide the foundation of technical skills and story-telling techniques required by New Media platforms. It is housed at the UC Berkeley Graduate School of Journalism, 121 North Gate Hall.

The Human Mortality Database (HMD)

The Human Mortality Database (HMD) was created to provide detailed mortality and population data to researchers, students, journalists, policy analysts, and others interested in the history of human longevity.

Department of Statistics Consulting Service

The Department of Statistics operates a consulting service in which advanced graduate students, under faculty supervision, are available as consultants during specified hours in the fall and spring semesters. The service is associated with the course Statistics 272, which may be taken for credit. You are encouraged to use this service for statistical advice at any stage of your research. You are especially encouraged to come in early in your research so that the consultants may be helpful at the design stage.

Computer-assisted Survey Methods

Since the early 1970s, the CSM Program has modified and generalized a package of programs which became known as the Berkeley System for Computer-Assisted Telephone Interviewing (CATI) to handle a variety of data collection procedures, and continues to develop (and disseminate) new techniques for the analysis and documentation — as well as as collection — of questionaire-based data. Current CSM development activities are primarily dedicated to the Computer Assisted Survey Execution System (CASES))and Survey Documentation and Analysis (SDA).

Statistical Computing Facility

The Statistical Computing Facility (SCF) is a unit of the academic Department of Statistics, formally organized in 1986.

CEDA/Demography Lab

The CEDA/Demography Lab is the computing facility for the UC Berkeley Department of Demography, the Center for the Economics and Demography of Aging and The Berkeley Population Center. The Lab consists of a small core of powerful Unix servers and 40 workstations running a recent version of Fedora Linux. The lab is designed to provide a computing environment that is optimized for research and teaching in Demography. All major (and several not so major) statistical packages are supported as are compiled and interpreted programming languages. Users have access to large amounts of disk space and powerful UNIX processors. Windows applications running under Wine emulation (on Linux) are supported for administrative purposes. The Lab is available to Faculty and Students of the University of California, while they are engaged in teaching, learning, or research in Demography.

Haas Enterprise Computing & Service Management

Haas Enterprise Computing & Service Management supports over 3,000 computing accounts on behalf of the faculty, staff, and students associated with the School's five degree programs. The hub of computing services is the Baker Computer Center.

Social Welfare Computer Lab

The Social Welfare Computer Lab has 10 workstations and is open for drop-in computing to all students in Social Welfare who have completed an orientation. There is a scanner available. You may also sign up to use the projector and laptop for presentations. All workstations are connected to networked laser printers.

College of Environmental Design (CED) Computing

CED computing provides access (and troubleshooting) to both the wired (computing labs and studios) and wireless (AirBears) networks within CED. They provide access to and maintain computers, printers, plotters, scanners and specialized equipment in the computing labs and studio computing areas. They provide a personal network drive space for use as backup and to save your work onto; as well as access to any space set aside for individual class use. These folders of data are regularly backed up to CED servers. All the computers we maintain will have legitimate software licenses, and will be kept current with the most recent stabilized and tested versions of software.

The Bancroft Library’s Digital Collection

The Bancroft Library’s Digital Collection encompasses content drawn from all of our collecting areas and represent various material formats including manuscripts, pictorial, maps, books, and other more. With collections numbering over 300,000 digitized items and 2.5 million pages of digitized books, the collection is growing annually.

Designated Emphasis in Computational Science and Engineering

The dramatic increase in computational power for mathematical modeling and simulation has led to the fact that scientific computing now plays a significant role in the analysis of complex physical systems, such as computer chip manufacturing, battery modeling, turbine design, aircraft prototype testing, climate change and star formation, to name a few.