1. Getting to Know the New Data on Demand Tool
Craig Hayward, Willard Hom, Rick Fillman & Alice van Ommeren
Granlibakken, April 27, 2009

2. Data on Demand: Background
Willard Hom & Alice van Ommeren
Chancellor’s Office, CCCO

3. Data on Demand: System Goals
District-level program evaluation & improvement
Promote local accountability
Leveraging state’s data resources
Improving data with usage

4. District-level program evaluation & improvement
Scarce state-level funds for conducting local research
Variation by district vs. one-size fits all path
Empowers institutional researchers on campus (leverage local resources and build local capacity)

5. Promote local accountability
Part of ARCC philosophy of local accountability
Empowers district trustees and boards
Respects community-specific interests
Avoids political issue of imposing a single state model on different communities

6. Leveraging state’s data resources
Efficiency in operations (avoid multiple data systems and data collection)
Sunken costs (much of the costs are “pre-paid” so to speak)

7. Improving data with usage
Data quality as an iterative process
Data usage (an output) as a trigger and reminder

8. The “Flip Side” Standard data but not “standard analyses”
State-level conclusions hard-to-get
Coordination as obstacle to linking local efforts

9. Data on Demand Trainings
Data-on-Demand (All Day)
July 10th – Mount San Antonio – RP Group
CCCCO Workshops that include DoD
August 6th – Contra Costa District Office
August 13th – North Orange District Office

10. Links The Data on Demand site: https://misweb.cccco.edu/dataondemand/
Link to the example Cabrillo report: