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
Mon, 10/27: Scratch File System Back Online
We have restored the scratch file system, and it is online now. However, this issue might occur again, so we will continue to work with our vendor, DDN, and the datacenter team to find a permanent solution. We appreciate your patience.
Mon, 10/27: Savio Scratch File System Down
The scratch file system is not accessible due to a power issue affecting one of the racks. The problem causes a significant loss of power to scratch file system controllers, and this has been happening intermittently over the last few weeks. User jobs running in these circumstances might have failed, or scratch I/O might have paused during the time scratch is inaccessible. After investigating with the help of our vendor, DDN, hardware issues have been ruled out. We are working closely with the data center team (DC) to investigate the root cause of the issue and implement measures to prevent it from happening repeatedly. We will provide an update once the investigation is complete.
Mon, 10/6 & Wed, 10/8: Savio IDM will undergo brief maintenance
The Identity Management Team has planned maintenance this week on Monday, 6th October, and Wednesday, 8th October, from 4 pm to 7 pm. A brief interruption to identity services, particularly those related to Shibboleth, Grouper, identity linking, password reset, group creation, and RADIUS, is expected. Savio/Vector users may experience delays when logging in to the terminal and the OOD web portal during the maintenance window. We will keep you updated on the status if anything changes.
News Articles
Workshops & demos for researchers: Reproducibility, Security, HPC, and Cloud. Feb 11-14 is Love Data Week!
Please join us for a series of events on February 11th-15th during Love Data Week.
This nationwide campaign is designed to raise awareness about
Improving campus services for working with sensitive data
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
Getting the sources you need for your text mining project
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
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