1. The Interdisciplinary Nature of Veterinary Research as Represented in the Journal Literature Greg Youngen Amy Gullen UIUC Veterinary Medicine Library

2. Scope of the Search Web of Science & Scopus 2009 publication records Articles published by authors at eight CVM’s – Iowa State University – Michigan State University – Ohio State University – Purdue University – University of Illinois – University of Minnesota – University of Missouri – University of Wisconsin

3. Extracting the Data Identifying CVM and affiliated authorship – Vet or vet* in Author Affiliation field – Identifying best geographic identifier Urbana more effective than Illinois – Dealing with false drops Vet = Veterans (hospital) or Veterinary Publications from in-practice vets in same town USDA/APHIS locations (Ames & East Lansing) Missed data – CVM authors w/out “vet” in titles

4. Data Management Downloaded into Excel file: – Scopus – 953 records – Web of Science – 843 records – De-duplicated set – 1,368 records Fields downloaded: – Au, ti, so (incl. vol, iss, yr), aa, akw, ikw(Scopus), kw+(WOS), journal subject Identifying Veterinary vs Non-Veterinary Titles – VMLS Basic List of Serials

5. Post Processing of Data De-duplication process – Located collaborations and duplicates by sorting data Listed all schools affiliated with an article, but left duplicate listings (one per school) –Removed these duplicates as needed for data analysis (total number of articles published per journal) – Ran a Macro on each duplicate (same article from WOS and Scopus) manually

6. Post Processing of Data, cont. Cleanup – Totaled the number of articles per journal title – Formatted text for word clouds so that words in a phrase would stay together (Escherichia coli) – Data visualization tools treat different letter cases (“HELLO” vs. "Hello“) as different words WOS and Scopus differ in how they provide some fields (journal titles) Changed journal titles as needed so they wouldn’t be listed twice in visualizations

7. Data Visualization Many Eyes – Bubble charts – Word clouds Worldle – Word clouds

8. ui powerpoint background Collaborations – Joint Publications manyeyes.com

9. Veterinary vs. Non-Vet Publications manyeyes.com

10. Top Veterinary Journals by School Manyeyes.com

11. Treemap manyeyes.commanyeyes.com

12. Non-Veterinary Journals manyeyes.com

13. Long Tail of CVM Publications manyeyes.com

14. WOS Keywords grouped within Vet Sciences

15. WOS Key Words (outside Veterinary Sciences)

16. WOS Key Word Plus Field

17. ISU Article Title Words

18. ISU Author Keywords from WOS

19. ISU Keywords Plus from WOS

20. ISU Combined

21. Next Steps Is it worth the effort to expand? Range of years (decade) Number of schools (all CVMs) Scope of coverage Granularity of data Trends over time Collaborators Time and effort involved in data cleanup