Located on the 2nd floor, Mountain Side, of the UCSB Library,(rooms 2322 and 2324) the DREAM Lab
is a hub for campus-wide, data-intensive research and teaching projects.  

DREAM Lab is coming.

In the summer of 2022, the Interdisciplinary Research Collaboratory will become the Data, Research, Exploration, Access & Methods Lab. This change more directly reflects our mission:

The UCSB Library’s DREAM Lab helps UCSB scholars to learn new skills, access specialized computational resources, and build data collections. The Collaboratory especially seeks to serve campus communities that have traditionally lacked access to such computational resources. 

The DREAM team supports data-intensive scholarship by offering open-ended, data-centric consultations for students, faculty, and staff. We provide guidance on accessing and using the Library's data collections. We provide tools to analyze and visualize quantitative, qualitative, social media, and spatial data. We also collaborate with faculty, staff, and students to use these collections and tools for teaching and research.

Data

  • Data is at the center of everything we do.
  • Social Media like Twitter, Reddit, and beyond. 
  • GeoSpatial analysis and cartography are our specialty!

Research

  • No data project is too big or small for a 25- or 50- minute research consultation. Available to any UCSB student, faculty, and staff member.
  • The Library's Research Data Services team also provides supports active and ongoing management of data produced by UCSB researchers.
  • Qualitative | Text Data Mining | Natural Language Processing.

Exploration

  • High-powered workstations come with full suites of software applications for statistical, spatial, and graphics software 
  • Data and Software Carpentry workshops where you can learn to analyze data with R, Python, and more
  • Coming Soon: AR/VR Studio A dedicated space for you to DREAM of new realities. In the meantime, we have Blender and the Unity Engine available with Rift and Vive headsets ready to develop immersive 3d content.

Access

  • We can help you find and evaluate proprietary and Open Access data sources and using computational tools to get work done
  • Faculty, students, and staff can access the Library's extensive collection of datasets
  • We share licenses to specialized software, such as NVIVO and MaxQDA, both on Virtual Machines and on-campus in the Library

Methods