About a year ago, the room in the back of Graduate Services was christened the Dissertation Writer’s Room (brevity is the soul of wit, so it’s the DWR from here on out). It was a room. You could definitely work on a dissertation while in this room. And that was about it. There wasn’t really much more to say about the room, though I tried and probably said too much (no, not soulful or witty in the least). Well, now I don’t have to try to say something about the DWR, because there is a lot to be said about it. Feedback from doctoral students using the room has led to the room’s renovation this summer, and now it is ready to be used by all users who are doctoral candidates working on their dissertation. New tables, chairs, shades, lamps, rugs, paint, prints, and most of all, lockers. Yes, say hello to lockers to put your stuff into if you are a doctoral candidate working on your dissertation, and goodbye to the drag it was of dragging that bag full of books and your computer back and forth between your place and Graduate Services.
Now, there are 24 lockers of which 19 can be checked-out for an academic year, while the remaining five can be checked-out for the day. Lockers are issued on a first come, first served basis. Keys to the lockers can be checked out at the Graduate Services circulation desk if you are a doctoral candidate working on your dissertation. And only at the Graduate Services circulation desk. And only if you are a doctoral candidate working on your dissertation. You won’t find the keys to these lockers anywhere else. And we won’t check them out to anyone else but doctoral candidates working on their dissertation. So, come on in and get them while they’re here. It’s what you wanted. We know. You told us.
Below is a message from the Graduate School of Education about a new web-based enviroment that would probably be better to spend time in than Second Life. That is if you want to get some collaborative research done that might be recognized by your department.
We are pleased to announce the release of Research Hub, a web-based environment that provides powerful and easy-to-use tools for collaborating with colleagues, and organizing and enriching research data. Research Hub was developed by the Research and Content Technologies (RCT) department of Information Services and Technology (IST). It is envisioned as a hub for active research, connecting campus researchers to other scholars, online collections, analytical and visualization tools, publication portals, and archival repositories.
With Research Hub you can:
- Quickly create sites for your research teams and projects. Built-in wikis, blogs, discussion forums, and other tools support group communication.
- Organize your content using folders, tags, comments, and descriptive information.
- Browse documents using thumbnail images and document previews.
- Use full-text search and advanced filtering to find what you’re looking for, fast!
Additional projects underway include:
- Guest IDs for off-campus colleagues.
- Integration with California Digital Library archive and preservation services.
- Connection to scholarly collections, such as Early English Books Online, HathiTrust, and the Perseus Collection.
All data is safely stored in the UC Berkeley data center and can be accessed from anywhere, via desktop, laptop, or mobile device. A basic, no charge, account includes 10 GB of storage, but additional storage is available for purchase. Contact firstname.lastname@example.org for more information.
Research Hub is one of a number of IST initiatives designed to support research at UC Berkeley. It is available to all current faculty, students, and staff. To get started, go to the Research Hub website–hub.berkeley.edu–and log in with your CalNet ID.
Synthesis Digital Library Update for August 2011
- Chaotic Maps: Dynamics, Fractals, and Rapid Fluctuations by Goong Chen, Texas A&M University and Yu Huang, Sun Yat-Sen University, China (Mathematics & Statistics Series)
- Database Repairs and Consistent Query Answering by Leopoldo Bertossi, Carleton University, Canada (Data Management Series)
- Processing of Seismic Reflection Data using MATLAB by Wail A. Mousa and Abdullatif A. Al-Shuhail, King Fahd University of Petroleum and Minerals, Saudi Arabia (Signal Processing Series)
- Representations and Techniques for 3D Object Recognition and Scene Interpretation by Derek Hoiem, University of Illinois and Silvio Savarese, University of Michigan (Artificial Intelligence & Machine Learning Series)
- Zero-Effort Technologies: Considerations, Challenges, and Use in Health, Wellness, and Rehabilitatioin by Alex Mihailidis, et al., University of Toronto (Assistive, Rehabilitative, and Health-Preserving Technologies Series)