Regional Data Center
“Data with the Lid Off”
3/17/2015
Bob Gradeck
@BobGradeck
rmg44@pitt.edu
University of Pittsburgh
Laura Meixell
@lauratypes laura.
meixell@pittsburghpa.gov
City of Pittsburgh
Background
Our Goals and Objectives are Regional
Values and Philosophy
Key Government Partners
Regional Data Center Model
Data Providers: Cheerleading for Data and
Standards, Training & Technical Assistance
Automating Data Export
Data Portal: Federated Model
Building Community of Data Users:
Training, Events, User Groups, User
Guides, and Technical Assistance
Regional Data Center Model Summary
ETLCheerleading
Training
Technical
Assistance
Manage
Data Portal
Training
Events
User Groups
User Guides
Technical Assistance
Performance Criteria
Activity Measures
● Publishers/datasets (#)
● Data w/ automated publishing (%)
● Data with licenses (%)
● Data w/ complete metadata (%)
● Publishers of data catalogs (#)
Outcome Measures
● Data is shared across
departments/jurisdictions
● Sharing data saves $
● Sharing data improves services
● Data used in disadvantaged
communities
● Data used to improve
communities
● Data used in research
● Data used in journalism
Our team
Pitt Digital Scholarship Team
Regional Data Center
Staff
City of Pittsburgh
Government Solutions
Engineering Team
Allegheny County Government
Solutions Engineering Team
Carnegie Mellon
Friends
UCSUR Staff
We’re hiring!
● City of Pittsburgh
○ Police Crime Analyst
○ Crime Analyst Coordinator
● Allegheny County
○ CountyStats Manager
● University of Pittsburgh
○ Research Development Manager

Pittsburgh Regional Open Data Program

  • 1.
    Regional Data Center “Datawith the Lid Off” 3/17/2015 Bob Gradeck @BobGradeck rmg44@pitt.edu University of Pittsburgh Laura Meixell @lauratypes laura. meixell@pittsburghpa.gov City of Pittsburgh
  • 2.
  • 3.
    Our Goals andObjectives are Regional
  • 4.
  • 5.
  • 6.
  • 7.
    Data Providers: Cheerleadingfor Data and Standards, Training & Technical Assistance
  • 8.
  • 9.
  • 10.
    Building Community ofData Users: Training, Events, User Groups, User Guides, and Technical Assistance
  • 11.
    Regional Data CenterModel Summary ETLCheerleading Training Technical Assistance Manage Data Portal Training Events User Groups User Guides Technical Assistance
  • 12.
    Performance Criteria Activity Measures ●Publishers/datasets (#) ● Data w/ automated publishing (%) ● Data with licenses (%) ● Data w/ complete metadata (%) ● Publishers of data catalogs (#) Outcome Measures ● Data is shared across departments/jurisdictions ● Sharing data saves $ ● Sharing data improves services ● Data used in disadvantaged communities ● Data used to improve communities ● Data used in research ● Data used in journalism
  • 13.
    Our team Pitt DigitalScholarship Team Regional Data Center Staff City of Pittsburgh Government Solutions Engineering Team Allegheny County Government Solutions Engineering Team Carnegie Mellon Friends UCSUR Staff
  • 14.
    We’re hiring! ● Cityof Pittsburgh ○ Police Crime Analyst ○ Crime Analyst Coordinator ● Allegheny County ○ CountyStats Manager ● University of Pittsburgh ○ Research Development Manager