This presentation was provided by Muhammad Javed of Cornell University during the NISO virtual conference, Research Information Systems: The Connections Enabling Collaboration, held on August 16, 2017.

1. VIVO: A Community-driven
Research Information
Management System.
Challenges and Opportunities
8/16/2017
Muhammad Javed, Ph.D.
Ontology Engineer/Tech. Lead (Scholars@Cornell)
Cornell University Library
mj495@cornell.edu | @mjaved495

2. Cornell University
Credits: Sandy Payette, Cornell University Library (CUL)
And many more….

3. Cornell University
What is VIVO?
• A web resource for single point of access for information on
scholarly activity at Cornell. [Jon Corson-Rikert et. al. (Sep. 2007)]
• A semantic web-based researcher and research discovery tool.
[Duraspace & VIVO Sponsor Webinar (2012)]
• An open source tool for describing and linking researchers and
research. [Dean B. Krafft and Jon Corson-Rikert (2012)]
• VIVO creates a connected, integrated record of the scholarly
work of your institution, ready for reporting, visualization, and
analysis. [VIVO: website (2017)]

4. Cornell University
What is VIVO?
• A web resource for single point of access for information on
scholarly activity at Cornell. [Jon Corson-Rikert et. al. (Sep. 2007)]
• A semantic web-based researcher and research discovery tool.
[Duraspace & VIVO Sponsor Webinar (2012)]
• An open source tool for describing and linking researchers and
research. [Dean B. Krafft and Jon Corson-Rikert (2012)]
• VIVO creates a connected, integrated record of the scholarly
work of your institution, ready for reporting, visualization, and
analysis. [VIVO: website (2017)]

5. Cornell University
VIVO – Creates an Institutional Knowledge Graph

6. Cornell University
VIVO – A semantic web-based tool
“VIVO-ISF” Ontology as Model
- Written in OWL
- Can express
Disjointness & Unions
Domains/Ranges
Transitiveness.
Inverse Prop.
..and more
https://www.w3.org/OWL/
https://wiki.duraspace.org/display/VIVODOC19x/Ontology+Reference

7. Cornell University
VIVO – Create records of scholarly works

8. Cornell University
VIVO – Analysis and Visualizations
Temporal Graph
Co-investigators
Co-authors
Capability Map

9. Cornell University
VIVO – Creates profile pages

10. Cornell University
Researcher profile systems:
Community of Scholars
Google Scholar
LinkedIn
SciENcv
VIVO
Subject author identifier system:
Subject repository: arXiv
Research & collaboration hub: nanoHUB
Reference management:
Online encyclopedia: Wikipedia
Credits: OCLC - https://www.slideshare.net/oclcr/registering-researchers-in-authority-files/5
That is how world look at VIVO ?

11. Cornell University
Profiles
are
Everywhere
Credits: Sandy Payette, Cornell University Library (CUL)

12. Cornell University
FPS vs. RIMS
Examples FPS
(acceptable?)
RIMS
(acceptable?)
1. “Selected” Publication List OK No. Requires as
complete as possible.
2. “Selected” Award and Honors OK No. Requires as
complete as possible.
3. Research Interest Statements (“Text”) OK Not useful, unless
topics are inferred.
4. “Different texts” representing the same entity OK No. Cannot analyze
the data.
5. Citation data details (e.g. journal, page nos., list
of co-authors)
Not required Required

13. Cornell University
Challenges & Opportunities

14. Cornell University
• Big Challenges
Challenges & Opportunities

15. Cornell University
• Though VIVO is based on a model that allows
inference, the model in under-utilized.
• Built-in inference engine with limited functionalities.
VIVO-ISF Ontology: An under-utilized model

16. Cornell University
• We have built Institutional
Knowledge Graphs (IKGs)
at national / international
institutions, using the
same data model.
Cross-Institutional Search & Discovery
Cornell
Texas A&M
Duke Brown
UF
…
Institutional Knowledge Graphs

17. Cornell University
• How do we create now
linkages between these
IKGs for national /
international networking
and discovery.
Cornell
Texas A&M
Duke Brown
UF
…
Cross-Institutional Search & Discovery

18. Cornell University
• Small / Institutional Challenges
Challenges & Opportunities

19. Cornell University
• How does a person
use long lists views
that are available in
out of the box VIVO?
Representation

20. Cornell University
• Out of the box,
– Limited analysis & visualizations.
– Data can only be downloaded/shared in RDF format.
• RDF to JSON transformation ?
– Limited data reuse: Cannot push data to other sites.
• An API ?
VIVO: Under-developed for reporting and analysis

21. Cornell University
• Manual curation
• Using upstream sources (web of science, scopus, pubmed, crossref etc.)
• Data updates
Data quality is still an issue!

22. Cornell University
Scholars@Cornell
Powered by VIVO

23. Cornell University

24. Cornell University
Aggregate views in Scholars@Cornell

25. Cornell University
1. Scholars pages are non-editable.
2. Date quality is a high priority.
3. No manual assertions. Infer knowledge graphs from the given
research data.
4. Use D3 visualizations to present aggregate views.
5. Visualizations: another way to navigate through the linked data.
Some important notes

26. Cornell University
Some Snapshots
https://scholars.cornell.edu
Scholars@Cornell

27. Cornell University

28. Cornell University

29. Cornell University

30. Cornell University

31. Cornell University

32. Cornell University
Two Takeaways

33. Cornell University
VIVO IS NOT ABOUT FACULTY
PROFILES ONLY
VIVO – A Faculty Profile System (FPS) ?

34. Cornell University
VIVO HAS THE POTENTIAL TO BE A
GREAT RESEARCH INFORMATION
MANAGEMENT SYSTEM
VIVO – A Research Information System?
Data
Modeling
Data
Recording
Data
Analysis

35. Cornell University
• VIVO: A Semantic Approach to Scholarly Networking and Discovery
http://www.morganclaypool.com/doi/pdf/10.2200/S00428ED1V01Y201207WBE002
• Research Information Management Systems – A new service category ?
– Loran Dempsey (Vice-President and Chief Strategist - OCLC)
http://orweblog.oclc.org/research-information-management-systems-a-new-service-category/
• Scholars@Cornell: Visualizing the Scholarship Data
https://figshare.com/articles/Scholars_Cornell_Visualizing_the_Scholarship_Data/5303620
Some other useful links

36. Cornell University
Muhammad Javed, Ph.D.
Ontology Engineer/Tech. Lead (Scholars@Cornell)
Cornell University Library
mj495@cornell.edu | @mjaved495