2016 D-STOP Symposium ("Smart Cities") session by CTR's Jen Duthie. Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
Data Rodeo: A Data Analytics Environment for the Central Texas Region
1. A Data Analytics Environment for the Central Texas Region
Dr. Jen Duthie, PE
D-STOP Symposium
April 2016
DATA RODEO
2. Access to data
& tools
Innovation &
collaboration
Data-centric
research
& learning
Enable Smart
Cities
Goals
3. Public release of select data
Open Portals
• City
• State
• OpenStreetMapPublished/crowd-sourced data
Public Sector
Agencies
Private Sector
• App developers
• Communications
• OEMs
AgencyData
RegionalData
Map image: screenshot from http://www.openstreetmap.org , TMC: Source: http://www.moxa.com ; Full link at http://bit.ly/1qfBJrd
D-STOP + TACC
• Storage
• Analytics
• Research
• Education
Community
• Open Portals
• OpenStreetMap
Rodeo - Framework
4. Open: access data, access code
Scalable: individuals, cities, regions
Replicable: works here, works there
Empowering: easy access, new insights
Guiding principles
5. Server Side
Leveraging TACC @ UT
Hosted in the cloud
Geospatial versioning (e.g., GeoGig)
Conversion for common data types (i.e., ETL)
Free and open source components
DATA RODEO
Client Side
Edit via free tools (e.g., iD, QGIS)
Edit via proprietary tools (e.g., ArcGIS)
Analyze via custom tools
Visualize via data dashboard
Access via public API
7. Lower barrier to entry for transportation modeling
and analytics
Test predictive models against reality
Enable coordination for regional planning
Data-driven policies
RODEO-Enabled innovations
Guiding principles
Archive transportation-related data from multiple sources (private & public)
Provide easy and intuitive access to data & data analysis tools through a web framework
Enable use of advanced modeling tools & computational resources through framework
Promote “reproducible science” & faster technology transfer – Enable research