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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?
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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?
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
Strategies: Think Collaboration • Research and Assessment Unit • Library committees • Project Groups • Functional units and staff within • Offices of the University • Context-specific peers Avoid redundancy and maximize use of data and findings Align with larger goals and benefit from and support peers at the same time
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
Thank you! xin.li@cornell.edu