Data Nexus: A model for creating an integrated data ecosystem to enable a more effective academic research organization. Presented at the American Evaluation Association (AEA) 2014 annual meeting.
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Data Nexus: Enabling a more effective academic research organization
1. Data Nexus
A Model for Creating an Integrated Data Ecosystem to Enable a
More Effective Academic Research Organization
Melanie Funes, PhD
Director, Strategic Implementation
Associate Director, Research Development
Southern California Clinical and Translational Science Institute (SC CTSI)
at USC and CHLA
2. Data Nexus development team
Planning, Evaluation and Tracking
o Melanie Funes, PhD
Director, Strategic Implementation
o Eun Evans, PhD
Project Manager
o Annie Hong, BS
Program Coordinator
o April Bagaporo, BS
Program Coordinator
eHome: Digital Innovation
o Katja Reuter, PhD
Director, Digital Strategy and eHome
o Praveen Angyan, MS
Technical Lead
o Bruce Park, MS
Web Developer
o Ed Ward
Web Developer
o John Burgos, MS
Project Manager
3. The CTSA Evaluation Unit challenge
o Demonstrate value in a concrete way to stakeholders
o Introduce approaches to create a strategic organization
o Increase alignment between program and institute priorities
o Provide support to develop goals, target and metrics of success
o Assess progress toward goals and targets
o Develop strategies and approaches to improve performance
o Build tools and best practices to achieve excellence
o Enable data-driven decision making
4. At the end of the dayit all comes down to
Use, Cost, Quality, Outcomes, Impact
o How we measure and track it (innovation)
o How we use the data (decision making, continuous improvement)
5. NCATS, we have a problem
Apollo 13 Liftoff
www.hq.nasa.gov/office/pao/History/alsj/a13/ap13-KSC-70PC-160HR.jpg
6. connecting the data dots
The right data at the right time is crucial
o Actionable insight
o Informs course correcting decisions
o Adjust service provision (maximize resources minimize costs)
7. connecting the data dots
Activities
Individuals
We need critical data connections
o Activities + Individuals + Outcomes
Outcomes
8. connecting the data dots
Data Nexus, a technical solution
o Automated data aggregation from multiple sources
9. connecting the data dots
Data Nexus, a technical solution
o Automated data aggregation from multiple sources
o Subsequent data distribution across multiple outputs
10. connecting the data dots
to create a
Data Ecosystem
for tracking use, cost, quality, outcomes, and impact
11. Data Nexus an integrated Data Ecosystem
INFORMATION INPUT SYSTEMS
(Investigators, Services, Outcomes)
Consultation Services Tracker
SC CTSI Get Expert Advice
Collect Investigator
Information
Formstack: Online Form Builder
Track Service Provision
HelpSpot: Service Tracking System
Program Activity Tracker
SC CTSI Intranet Collect Activity
Information
Formstack: Online Form Builder
e-GATE
Pilot $ and K/T Tracker
INFORMATION OUTPUT SYSTEMS
Service Invoicing
Zoho: Business Invoicing Application
Service Reports
Performance Management
ClearPoint Strategy:
Balanced Scorecard Software
Communication
Real-time updates
Web syndication
Validation
Satisfaction
Survey
Databases
Progress
Reporting
Survey System
Service
Agreement
External:
PubMed
eRA
iEdison
News
Internal:
C&G
Kuali
iStar
OTT
HR Datafeed
12. A data ecosystem is crucial
but not enough for a long lasting culture-shift in decision-making
14. The possibilities are endless
o Oakland As (Billy Beane) + Bill James (stats)
o Laser focus on winning
o 2003: Run vs walk? Doesnt matter (on-base %)
o Outcome: Winning team with less money
o Stats revolution that changed baseball Joe Delessio
15. The possibilities are endless
o 2003 budget deficit and on the decline
o Underestimating core business and strengths
o Didnt understand where they were making $
o Data + operational focus + forecasting needs
o Worlds largest toy manufacturer
16. The possibilities are endless
o Track
o Analyze
o Predict
o Succeed by giving people what they want
17. The possibilities are endless
o Mission Predict, measure, and improve the return on social investments
o Use data to develop strategies to move the needle on intended outcomes
www.missionmeasurement.com
18. What can CTSAs do next with data
to enable new data-driven decision making models for academia?
to better understand ourselves?
to identify our unique strengths?
to measure and articulate our impact?
to predict success of our clinical and translational research portfolios?
to strategically invest and do more with less?