The Interdisciplinary Research Collaboratory is UCSB's home for data-centric research support. The Collaboratory team offers expert guidance on access to the Library's data collections and supports software tools to analyze and visualize quantitative, qualitative, and spatial data; and collaborates with faculty, staff, and students on using these collections and tools for teaching and research. Located in the newly constructed section of the Library, the Collaboratory is a prime location on campus for scholars to work across disciplinary boundaries on data-intensive research projects.
We are located on the 2nd floor, Mountain Side, of the UCSB Library. Rooms 2322 and 2324.
Collaboratory staff help UCSB faculty, students, and employees access the Library's data sets; find and evaluate open access data sources; use software and other research tools; and engage in cross-disciplinary collaboration.
We are especially interested in supporting interdisciplinary humanities, social science, and fine art teaching and research projects of individuals and groups who use analytical methodologies that rely on the creation, analysis, and visualization of complex datasets.
The Library's Data Curation team provides support to the Collaboratory. Beyond Collaboratory services, the Data Curation Program supports active and ongoing management of data produced by UCSB researchers.
Nine workstations in the lab space are connected to 32-inch monitors and come with a full suite of statistical and spatial software.
Researchers working from these machines can project their work onto one of the two large monitors in this room.
Two computers (one desktop, one laptop) are available in the meeting space. Both are connected to 85-inch 4K monitors. Researchers can use the monitors separately, or use one as a secondary monitor. Devices can be wirelessly connected to the monitors as well, using the Crestron Airmedia application.
- R & R Studio
- Agisoft PhotoScan
- ArcGIS Pro
- Blender 3D Creation Software
- NVivo (PC)
- Python (including Canopy and Anaconda distributions)