Transcript Document

Assessment @ Cornell
Xin Li
For ARL Assessment Forum
January 11, 2008
At ALA 2007: Cornell and Assessment
In Anne Kenney’s presentation:
http://www.arl.org/news/enews/enews_july07.shtml
Strategies: Think Value
• What data do we have?
• Are they still worth mining for current library activities?
• What data do we need?
• What’s the value to collect new data?
• Will new data lead to decisions/actions?
• Is the return worth the investment in collecting them?
• If we don’t have the data, who else has?
• Can we use others’ data, why and why not?
Sample Activities
Strategies: Think Measures of Success
• Align Library assessment with University priorities
– University strategic planning and campaign
– Renovation
• Embrace competition as motivator for bench marking
– ARL new measures initiative
– Best colleges and universities (what do their libraries do?)
• Recognize organizational climate as key success factor
– Correlation of customer satisfaction with library services and the
climate of the organization the library staff perceive
Sample Activities
Strategies: Think Collaboration
• Research and Assessment Unit
• Library committees
Avoid redundancy and
maximize use of data and
findings
• Project Groups
• Functional units and staff within
• Offices of the University
• Context-specific peers
Align with larger goals and
benefit from and support
peers at the same time
Sample Activities
2008 In the Works
• Participate in Organizational Climate and Diversity Assessment
• Conduct use and user studies to support library priorities
• Drop low-value measures and automate annual statistics collection
• Re-design Cornell Library Annual Statistics Report
• Finish data mart pilot
• Standardize measures to prepare for longitudinal study
• Launch GoFigure! Noteworthy for CUL staff
• Consider producing news briefs for University administrators, faculty and stakeholders
• LibQual mining
• NCES mining
• And more…
Growing Pains
• Staff training and retooling
• Project management
• Risk taking and acceptance of good enough data
• Data management
• Selling the value of assessment
• Political ramifications
• Data discomfort
• Decentralized assessment landscape
Tools That Helped Us
Thank you!
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