1. Lindsay Cronk and Wenli Gao University of Houston
Photo by CoffeeInSpace - Creative Commons Attribution-NonCommercial-ShareAlike License
Created with Haiku Deck

2. Welcome!

5. Techniques Over Tools

6. Why Tableau Current Academic Standard Speed Analysis Data Layer
Cloud-Based
Drag and Drop/WISIWIG
Free (Public)
Beautiful

7. But also because I am concerned about statements like these in professional literature.
“In the end, the authors found most success generating data bubbles using Microsoft Excel (version 2010), which is probably familiar to the widest audience and requires no special programming skills.”
– Jannette L. Finch and Angela R. Flenner, College of Charleston
Excerpt from “Using Data Visualization to Examine an Academic Library Collection”
Forthcoming, College and Research Libraries

8. We cannot cling to Excel for data presentation because it is familiar and we don’t want to have to learn to code.

9. AND we will only begin to understand researcher data needs when we begin to treat our data as worthy of analysis and visualization.

10. How will applying visualization enhance collection assessment?

12. Photo by Gustavius - Creative Commons Attribution-NonCommercial-ShareAlike License
Created with Haiku Deck

13. Historically, we’ve focused on:
Usage
Cost
Content

14. Using Subject Experts to Super Power Collections Data
Create Criteria for Analyzing the Collection
Integrating Systematic Review into Acquisitions Calendar

15. Other Data Integration Opportunities to Consider for Collection Assessment
Transaction Logs
eResource Help Desk Tickets
FTE info

16. Photo by x-ray delta one - Creative Commons Attribution-NonCommercial-ShareAlike License
Created with Haiku Deck

17. We need to change.

18. Stop formatting spreadsheets for casual review.

19. Use spreadsheets to feed visualizations, provide narrative/stats for the detail-oriented.

20. Use formulas from injestible sheets to create standard sheets as required.

21. Let’s form a committee to end duplicative data entry.

22. Photo by x-ray delta one - Creative Commons Attribution-NonCommercial-ShareAlike License
Created with Haiku Deck

23. The usual suspects.

24. Subject Expert Review
ew/SV_0rD9BlmbMCDnCGV

25. What information can we capture?
Management Related Information
Content Based Information
Disciplinary Value
Major User Group(s)
User Experience Assessment
Historic Information

26. Creating a Database of the Information We Need.

27. Layers of Information
Lenses for Assessment

28. Decision-Based Evidence Making and Evidence-Based Decision Making
TM Lisa Hinchcliffe, 10/31/2016, LAC Keynote

29. Photo by Marcin Wichary - Creative Commons Attribution License
Created with Haiku Deck

30. Combining cost, usage, content, and qualititative information.

31. Applying the subject assignments: 1) Databases 2) Monographs 3) Serials Fund Codes

32. Spreadsheet available upon request.
me.

33. Photo by return the sun - Creative Commons Attribution License
Created with Haiku Deck

34. SAG Dashboards Visualization with analysis/ interaction points by: Month, Vendor, Spend, Usage

35. Database Review Sheet
More detailed view available upon request

36. Photo by Dex Creative Commons Attribution-NonCommercial License
Created with Haiku Deck

37. Moving towards centralized Subject Area Dashboards.

38. Developing subject-level dashboards for high needs areas.

39. Critical to success: 1) Alignment with Existing Processes 2) Clear Goals/Action Points 3) Subject Liaison Participation 4) Pilot Projecct Flexibility

40. Next: Facilitating and building a community of practice in collection data visualization.

41. Photo by antonychammond - Creative Commons Attribution-NonCommercial-ShareAlike License
Created with Haiku Deck

42. Photo by x-ray delta one - Creative Commons Attribution-NonCommercial-ShareAlike License
Created with Haiku Deck