Data Consulting Resources

D-Lab

D-Lab helps Berkeley faculty, staff, and students move forward with world-class research in data intensive social science and humanities. We do this by offering workshops, consultations, professional development and other training services. Our workshops aim to help users needing short trainings around programming tools (R, Python, Stata), software tools (Excel, Tableau, MaxQDA, Qualtrics), methods and techniques (qualitative and quantitative methods, spatial analysis, data visualization, social network analysis, text analysis, machine learning). Our consulting program provides free one-on-one consultations on topics ranging from research design, data analysis, data management, and related techniques and technologies for Berkeley students, faculty, staff and postdocs at all research stages and across all learning levels.

Consulting

Training

Data Peer Consulting

The Data Peer Consulting Program is a partnership between the Division of Computing, Data Science, and Society, D-Lab, Research IT, and RDM to provide undergraduate and graduate student researchers with computing and data science support. From helping to guide students through the maze of campus resources or provide quick troubleshooting some code, Data Peer Consultants are well positioned to offer guidance to other students because they’ve been through the same learning process recently. No question is too basic or too advanced to bring to the consulting desk. Data Peers Consultants are all Berkeley students with amazing skills and a passion for working with other students. Data Peer Consultants come from all academic backgrounds; math, cognitive science, statistics, legal studies, computer science, business, and geology (to name a few). Data Peer Consultants have focus areas such as data visualization, data analysis, GIS, coding languages like R/Python/Java/Stata/.

To start a consultation please go to https://data.berkeley.edu/ds-peer-consulting for more information.

For all other inquiries, please email us at ds-peer-consulting@berkeley.edu

Library

Library Data Services assists researchers, faculty, staff, and students with data discovery, data purchase, organization, management, publication, re-use and curation. From creating a data management plan and finding the right kinds of data for your research to one-on-one consultations and assistance with your subject librarian, we're here to help you with most of your data needs. The Library advises across the entire research data lifecycle, including access, collection development, rights and data mining, data management, and data publication and reuse. Please contact us here.

Research Data Management Program

A partnership between Research IT and the Library, the Berkeley Research Data Management (RDM) Program helps researchers navigate the complex landscape of managing data before, during, and after their research. The program communicates data management best practices and helps researchers meet funder, policy, and university requirements, particularly related to the security and protection of data. A complete list of services can be viewed on the RDM website: https://researchdata.berkeley.edu/services. Reach out to the Berkeley RDM Program at: researchdata@berkeley.edu.

Research IT

Research IT provides research data and computing technologies, consulting, and community for the UC Berkeley campus to advance research through IT innovation. The department includes the Research Data Management and Berkeley Research Computing programs. From identifying cloud, virtual machine, and high-performance computing solutions to working with sensitive data, Research IT is poised at the intersection of research and technology. Research IT consultants can help understand the researcher needs and match them to appropriate resources. Reach out to Research IT at research-it@berkeley.edu

IT Client Services

IT Client Services can assist with recommendations, ordering, and set up desktop computer equipment that meets your secure data plan. Please send an email to itcs-outreach@berkeley.edu to start the process.