Research IT

provides research data and computing technologies, consulting, and community for the UC Berkeley campus. Our goal is to advance research through IT innovation.

Status and Service Updates

No office hours during finals: 5/12-5/16

Research IT will not be holding our regular office hours during the week of Spring Break, 5/12 - 5/16. Please get in touch with us at research-it@berkeley.edu for any help in the meantime.

No office hours during Spring Break: 3/26-3/27

Research IT will not hold office hours during Spring Break on Wednesday, 3/26 and Thursday, 3/27. Please get in touch with us via e-mail in the meantime and we will be happy to assist you.

Data Center Shut Down and Savio Downtime: Fri, 3/28 (5pm) - Tues, 4/1 (8am)

Our campus data center will temporarily shut down on Sunday, March 30, for essential generator work. In conjunction with this work, the Savio cluster will also be offline, starting Friday, March 28, at 5 p.m. until Tuesday, April 1, at 8 a.m. Pacific. A scheduler reservation is in place to ensure no jobs run after 5:00 p.m. on March 28th. If you plan to submit jobs, please ask for proper wall time to complete them before the downtime. Otherwise, your jobs will wait in the queue until the cluster is back online.

View all status and service updates

News Articles

Improving campus services for working with sensitive data

December 3, 2018

Amy Neeser co-authored this post with Chris Hoffman

Increasingly, researchers in a wide range of fields at UC Berkeley are applying novel data science approaches to very large sensitive and restricted data sets. Working closely with

...Read more about Improving campus services for working with sensitive data

Getting the sources you need for your text mining project

November 16, 2018

You have a great research question that you want to answer with text data mining (TDM) methods, and you've got some Python under your belt or you've decided to see what you can learn from a browser-based tool like

...Read more about Getting the sources you need for your text mining project