There are many ways to get help with your data or data project! Three starting places are:
Library Data and Digital Scholarship Services Program: "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."
The 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."
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 Peer Consultants have focus areas such as data visualization, data analysis, GIS, coding languages like R/Python/Java/Stata/".
There are myriad sources of data you can get through your Berkeley affiliation as well as open data, government and otherwise! The best starting place is THIS GUIDE which has hundreds of links to datasets that are licensed for/made available to Berkeley users by the UC Berkeley Library. Remember that these are secondary datasets (they have already been collected by others), but collecting your own data, to create a primary dataset, is always an option!
Below is a partial, alphabetical listing of the many Library Research Guides which contain pages with lists and details about data resources and methods, as related to various disciplines. If you have questions about anything contained in these pages, feel free to contact the librarian who created them!
