ALA Collections Review Presentation(070209)

  • 1,714 views
Uploaded on

Greg Raschke's ALA 2009 Presentation - Keeping the Best in Challenging Times

Greg Raschke's ALA 2009 Presentation - Keeping the Best in Challenging Times

More in: Education , Business
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
1,714
On Slideshare
0
From Embeds
0
Number of Embeds
4

Actions

Shares
Downloads
2
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Keeping the Best in Challenging Economic Times Greg Raschke and Annette Day, North Carolina State University ALA Annual Conference July 12, 2009
  • 2. Day in the Life – Collections Review 1995  Consider price, impact factor, and editors  Print use or citation studies – if they have been done recently  User community feedback via lists  Static and temporary  Apply domain expertise and institutional knowledge  Transparency and accountability  Move money from book funds  Ask/Pray/Meditate for more money next year
  • 3. Day in the Life – Collections Review 2000  Consider price, impact factor, and editors  Print use and citation studies(?) – if available  Introduce web logs if you can get them in a workable state  User community feedback via lists (online this time)  Static, but electronic and more available  Apply domain expertise and institutional knowledge  Move money from book funds  Ask/Pray/Meditate for more money next year
  • 4. Day in the Life – Serials Review 2004  Web logs and e-usage data (not enough)  Publication data and citation patterns (if you can get them)  Impact factor  Weigh price against usage  User community feedback via lists (online forms this time)  Maintain big deals and access gained over past decade  Apply domain expertise and institutional knowledge  Move money from book funds  Ask/Pray/Meditate for more money next year
  • 5. Day in the Life – Collections Review 2009 – General Assumptions  Truly embrace evidence based decision making  Resource management based increasingly on use  Less tolerance for and less investment in lower use general collections  Use based and user driven collecting models will take growing share of budget  Local collection has become more a part of growing discovery and access at network level
  • 6. Day in the Life – Collections Review 2009 – Presenting and Packaging Data  User community feedback via interactive, database-driven applications  Weigh/calculate/quantify user feedback  Community Feedback ((Weighted Ranking x % Match) x Total # Rankings) + 0.1 x # of "1s“
  • 7. Day in the Life – Collections Review 2009 – Presenting and Packaging Data  Bibliometrics - publication data and citation patterns (e.g LJUR)  Impact factor and eigenfactor  Standardized usage data (where available)  Quadrangulation of data  Weigh price against multiple data points  Usage ((07usage+08usage/5)+(publications*10)+ (citations*5)+ (Eigenfactor*10)  Price/feedback value  Price/data value  Merge results to filter titles into 5 tiers
  • 8. Day in the Life – Collections Review 2009  Network effect emphasizing content  Packages and agreements  Allocation assessment via multi-disciplinary lens  Weigh investments against institutional data in a consistent, technology enabled way – identify stagnation
  • 9. Assessing via Institutional Lens
  • 10. Assessing via Institutional Lens
  • 11. Day in the Life – Collections Review 2009  Apply domain expertise and institutional knowledge  Revisit large agreements in context of large-scale cuts  Maintain access gained over past decade  Truly innovate, collaborate, and look at new models – particularly for books and databases  Get right content, highest ratio of use and service per dollar  Still Ask/Pray/Meditate for more money next year
  • 12. Issues and Cautions  Not enough data - still lack much of the comprehensive data we need – must improve quickly  Data can punish niche areas, disciplinary variation, and titles without data  Tools and views to consistently monitor performance  Monitoring usage trends and patterns and responding accordingly – active, consistent review and reporting  Changing budget targets  Granular command of orders to packages to titles (ERM’s are not close to there)