1. Leveraging VIVO Data
Visualizations, queries and reports
Paul Albert
paa2013@med.cornell.edu
Weill Cornell Medical College

2. Step #1
Get good data.
Step #2 ex ceptional
Create something useful.

3. What can we really
learn from bad data?

4. Administrators: no fans
of the error bar are they

5. Native Visualizations in VIVO
Co-author Publication
visualization sparklines
Map of Science
Co-investigator Temporal
visualization graphs

6. Demo
Time

7. Caveats for publication
visualizations
• Is the data complete?
• Map of Science looks at the topic of the
journal, not necessarily the article
• Agnostic about:
- type of publication (e.g., editorial,
academic article)
- significance of finding
- author contribution

8. Generating Reports

9. Westheimer's Law
A few months in the laboratory can
save a few hours in the library.

10. Corollary of
Westheimer's Law
A few hours of SPARQL query construction
can save you a few seconds of searching.

11. This does not work.

12. This does.

13. Object property should take
user to all faculty members
who attended Tufts

14. Strongly consider linking out
your data properties as well.

15. The tool of choice for fancy questions
SPARQL Query Builder

18. Most needs for data
are not articulated

19. Articulated question #1
Show me a current list of
publications by the following people.

20. Articulated question #2
Which researchers have published
the most research articles within a
given set of basic science journals
within the last five years?

21. Articulated question #3
How many journal articles have
researchers published between
October 2011 and March 2012?

22. Articulated question #4
What is my H-index?

23. Identifying unarticulated
research questions
extrapolate
investigate
hypothesize
infer
interview
collaborate

24. I have not failed. I've just found
10,000 ways that won't work.
Thomas A. Edison
Source: Yahoo Answers

25. We have proposed several research
questions that elicited enthusiasm.
Dean’s
Representative

26. Proposed question #1
How has the number of publications
co-authored with other institutions
changed year to year?

27. Proposed question #2
Publications appearing in journals of
a given impact factor

28. Proposed question #3
In any given year, which paper has
the most incoming citations?

29. Proposed question #4
Which papers that have received
federal funding are not deposited in
PubMed Central?

30. Proposed question #5
Who are our institutions’ open
access key opinion leaders?

31. Proposed question #6
Which PIs have the most
collaborations based on grant
support?

32. Proposed question #7
Which faculty have dual
appointments?

33. Modes of Delivery
• Emailed attachments
- Spreadsheet
- PDF
- Word file
- Bibliographic tool (e.g., .ris file)
• Link to VIVO web interface
• Third-party “data dashboard”

34. Goals for Reporting

35. 1. Define the key questions.
Goal: a set of fundamental questions
we ask about our researchers.

36. 2. Allow for more key
questions to be addressed
via browsing
Ingest more data in key areas and...
In areas where VIVO hasn’t quite figured
out how to do something important...

37. 3. Create third-party
framework that will ingest
VIVO data and readily
answer these questions.
Framework will be open source and could
be incorporated into VIVO in future
releases.

38. Data Dashboard
Project for Our Summer CS Students
• build on Miles Worthington’s Drupal/VIVO
work
• tackle some of the proposed questions
that have not made it into core
• can be customized for different viewers
• collaboration welcome

39. Questions?
Is VIVO Facebook for Researchers?
• No Mendeley is… (Ha)
library.weill.cornell.edu