News

An Interview with Jon Stiles and Rick Jaffe of the D-Lab’s Securing Research Data Working Group

Securing Research Data Working Group

The Securing Research Data working group, run by Jon Stiles of the D-Lab and Rick Jaffe of Research IT, provides a forum for researchers and staff to discuss issues concerning sensitive, confidential, and restricted-use data. Beyond simply sharing information, the group focuses on improving conditions for research. The group meets the 4th Monday of every month and is open to anyone. The next meeting will take place on Monday, February 25th from 2-3pm in the D-Lab (356 Barrows Hall).

Workshops & demos for researchers: Reproducibility, Security, HPC, and Cloud. Feb 11-14 is Love Data Week!

Love Data Week 2019, graphic

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 data management, security, sharing, and preservation. Students, researchers, librarians and data specialists are invited to attend these events to gain hands on experience, learn about resources, and engage in discussion around data needs throughout the research process.

Christopher R. HOFFMAN's picture

Improving campus services for working with sensitive data

Strands of DNA

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 Berkeley Research Computing (BRC), the Research Data Management (RDM) Program has been helping dozens of faculty, students, and postdocs working with sensitive data by providing consulting expertise in a number of disciplines, including the biological sciences, public health, social welfare, demography, computer science, and more. The combined approach of providing data management and computation support helps researchers integrate data management and curation best practices into their larger research workflows while protecting their data. 

Getting the sources you need for your text mining project

Text mining sources flowchart

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 Voyant. You're ready to get started on a computational text analysis project. But wait!

Where do you get the texts?

Steve Masover's picture

Farewell and thank you to Quinn Dombrowski

Quinn Dombrowski and two of her children. Photo courtesy of Quinn Dombrowski, CC BY-SA 2.0

I first met Quinn Dombrowski at the University of Chicago in May 2008, at the second workshop of Project Bamboo, a cyberinfrastructure initiative aimed at supporting the digital humanities. By the end of that three-day workshop it had become clear that she was the get-stuff-done colleague I was looking for as a partner in the Andrew W. Mellon Foundation-funded initiative that our respective institutions were co-leading. When Research IT managed to lure Quinn from UChicago to UC Berkeley, her hire felt a little like the capstone of my then twenty years on Cal's staff.

Quinn Dombrowski's picture

"DARIAH Beyond Europe" workshop

Cowboys and Consortia talk at DARIAH Beyond Europe

UC Berkeley librarians and IT staff joined colleagues from around the world for the first DARIAH Beyond Europe workshop on September 13th at Stanford University. DARIAH (Digital Research Infrastructure for the Arts and Humanities) is a humanities-oriented European Research Infrastructure Consortium (ERIC), supported by technical and staff contributions from a wide range of countries within and adjacent to Europe.

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