MLA 2019 ELEVATE logo - May 3-8 Chicago

The Data CAVE

Developing a Multifunctional Space for Research Data Services and Instruction

 

 

#utadatacave

MLA Anuual Meeting - May 6, 2019
presentation: http://pow123.github.io/mla-datacave19

Objective

  1. provide a support mechanism for the growing areas of digital research and scholarship
  2. support collaborative and interdisciplinary research
  3. provide a pathway and opportunities for students to explore data and develop data literacy

Center for DATA

Creation, Analysis, Visualization, and Exploration

Includes Standard Load software plus all additional Data CAVE software, including
  • Spatial Data (ArcGIS, Google Earth Pro)
  • Statistical tools (SPSS, SAS, STATA, MATLAB, etc.)
  • Programming languages (R, Python, Git, etc.)

libguides.uta.edu/datacave

Center for DATA

Creation, Analysis, Visualization, and Exploration

Computer Specs (short)
  • 4 PCs i7, 16GB RAM, 1TB
  • 2 Macs - i5, 16GB 2400MHz DDR4 RAM, 1TB
  • 1 Dell Precision T7910, Intel Xeon 10, 64 GB RAM, 2 TB
  • 1 Falcon Northwest Mach V, liquid cooled i7, 128 GB DDR4 RAM, 8 GB onboard memory, 2 TB SSD

Computer Specs (long)

  • 4 PCs with Intel Core i7-7700K Processor (4-Cores, 8MB Cache, Turbo Boost 2.0, Overclocked up to 4.4GHz), Graphics:GTX 1060 with 6GB DDR5, 16GB RAM, 1TB
  • 2 Macs - 3.0GHz quad-core 7th-gen Intel Core i5, Turbo Boost up to 3.5GHz, 16GB 2400MHz DDR4 RAM, 1TB Serial ATA Drive @ 5400 rpm, Radeon Pro 555 2GB video memory
  • 1 Dell Precision T7910, Intel Xeon 10 core 3.1 GHz processor, 64 GB RAM, NVIDEA Quadro M2000 video w/ 4GB memory, 2 TB
  • 1 Falcon Northwest Mach V, liquid cooled Intel Core i7, 3.5GHz processor, 128 GB DDR4 RAM, NVIDEA GeForce GTX video (1080 option, 8 GB) with 8 GB onboard memory, 2 TB SSD

Activities

• Love Data Week
• Intro to Git & Github
• Open Data Day Hackathon
(hackathon recap here)

 

Coming up - Fall 2019

Visualizations released every week!

#utadatacave
dataCAVE@uta.edu

Thank You!