Getting to Know the New Data on Demand Tool

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
• Chancellors Office, CCCO

3
Data on Demand System Goals

• District-level program evaluation improvement
• Promote local accountability
• Leveraging states 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 states 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
• http//pro.cabrillo.edu/pro/pro_reports/DSPS20Rep
  ort_v2.1.pdf