Libraries have historically served as a hub for access to technology by providing publicly available computers with access to the Internet and workshops on technology topics. Academic libraries Research IT commonly house their own internal information technology (IT) team to serve unique needs in acquisition, resource management, access, discovery, and preservation of research materials. However, these internal teams are not designed to address the technical needs of researchers, like developing data management plans and advising on storage. As a result, there is often a separation between services available through the library and services provided by central and research IT organizations. As research from across disciplines is becoming more data and computationally intense, these two campus communities have an opportunity to collaborate on comprehensive research services for students and researchers.

UC Berkeley research labs have been at the forefront of the design and planning for much of today's cloud computing industry. There are many more examples across campus of teams using, running, and facilitating access to cloud based systems including those that support the teaching of data science using platforms like Jupyterhub (also developed at UC Berkeley).

Effective March 11, 2020: In response to the actions that campus is taking to help limit coronavirus (COVID-19) risk, we in Research IT are moving most of our consultations online. This includes Research Data Management consultations as well as those for our Berkeley Research Computing services (Savio, AEoD, and Cloud).

Students in our data consulting network help make data science accessible across the broader campus community.