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“VIZ”ualizing the Scholarly Record
Sandy Payette and Muhammad Javed
Cornell University Library
Presented at CNI Fall Meeti...
Graphs	for	knowledge	
•What	are	hot	research	areas?	
•What	are	the	pa.erns	of	collabora3on?	
•Who	are	expert	faculty	in	wh...
The Expanding Landscape of
Research Information Management
Pure
Many systems have a piece of the action
• VIVO
• Symplectic Elements
• Pure
• ResearchGate
• Academia.edu
• Many More…
Profile
proliferation
• VIVO profiles
• ORCID records - “profiles?”
• PURE profiles (Elsevier)
• Scopus author profiles (Elsevi...
How to make sense of this?
• The messiness of emerging knowledge infrastructure
• Private institutional vs. public perspec...
HR Feed	
Machine
pub	data
people	data
External	Data	Sources Internal	Data	Sources
grants	data
data/viz mediator
External	D...
How we motivate our work
• The messiness of emerging knowledge infrastructure
• Private institutional vs. public perspecti...
Backend
Inference
Graph
Links to external
knowledge
Authority Records
Extendable/Reusable Model OpenAccess to Data
Fronten...
….Domain Experts in any field
Journal Articles
Conference Paper
Book Chapters
Book
Patent
News letter
Video
Performance
Pre...
Scholars@Cornell
Highlights from Demo
VIZ-VIVO

Uberization 

✴ semantic graph meets dynamic web
✴ turning data into a kno...
The article is published in
Personality and Social
PsychologyBulletin.
Chen, Y-R (Cornell) co-authored
an article with Bla...
Uberization Channel
of Citation Entries
(VIVO)	Harvester		
API
Citation Entry
Articles	
Bin
Journals	
Bin
Curation	Bins
Ra...
Pilot Phase - Key Questions
• Library nudge a university-wide bottom-up coordinated process?
• Cornell highly decentralize...
QUESTIONS ?
Sandy	Payette,	Jon	Corson-Rikert
Muhammad	Javed,	Tim	Worrall,	Jim	Blake,	Joseph	McEnerney
Jill	Wilson,	Mary	Be...
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Scholars@Cornell: Visualizing the scholarly record

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As stewards of the scholarly record, Cornell University Library is developing a data and visualization service known as Scholars@Cornell with the goal of improving the visibility of Cornell research and enabling discovery of explicit and latent patterns of scholarly collaboration. We provide aggregate views of data where dynamic visualizations become the entry points into a rich graph of knowledge that can be explored interactively to answer questions such as: Who are the experts in what areas? Which departments collaborate with each other? What are patterns of interdisciplinary research? And more. Key components of the system are Symplectic Elements to provide automated citation feeds from external sources such as Web of Science, the Scholars "Feed Machine" that performs automated data curation tasks, and the VIVO semantic linked data store. The new "VIZ-VIVO" component bridges the chasm between the back-end of semantically rich data with a front-end user experience that takes advantage of new developments in the world of dynamic web visualizations. We will demonstrate a set of D3 visualizations that leverage relationships between people (e.g., faculty), their affiliations (e.g., academic departments), and published research outputs (e.g., journal articles by subject area). We will discuss our results with two of the initial pilot partners at Cornell University, the School of Engineering and the Johnson School of Management.

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Scholars@Cornell: Visualizing the scholarly record

  1. 1. “VIZ”ualizing the Scholarly Record Sandy Payette and Muhammad Javed Cornell University Library Presented at CNI Fall Meeting 2016
  2. 2. Graphs for knowledge •What are hot research areas? •What are the pa.erns of collabora3on? •Who are expert faculty in what areas? •Who co-authors in which areas? Visualiza5ons • Navigate the scholarly record • Dynamic interac3ve views Data •People, publica3ons, organiza3ons •VIVO ontology as data model •Exposed as linked open data
  3. 3. The Expanding Landscape of Research Information Management Pure
  4. 4. Many systems have a piece of the action • VIVO • Symplectic Elements • Pure • ResearchGate • Academia.edu • Many More…
  5. 5. Profile proliferation • VIVO profiles • ORCID records - “profiles?” • PURE profiles (Elsevier) • Scopus author profiles (Elsevier) • Mendeley profiles (Elsevier) • Symplectic Elements profiles • OpenScholar faculty websites • SciENcv (NCBI/NIH) • ResearchGate • Academia.edu.
  6. 6. How to make sense of this? • The messiness of emerging knowledge infrastructure • Private institutional vs. public perspective • Proprietary vs. open data • Commercial vs. open source vs. hybrid technology • Isolated systems vs. interconnected networks
  7. 7. HR Feed Machine pub data people data External Data Sources Internal Data Sources grants data data/viz mediator External Data Sources Web and Linked Open Data Scholars Positioning in Ecosystem
  8. 8. How we motivate our work • The messiness of emerging knowledge infrastructure • Private institutional vs. public perspective • Proprietary vs. open data • Commercial vs. open source vs. hybrid technology • Isolated systems vs. interconnected networks
  9. 9. Backend Inference Graph Links to external knowledge Authority Records Extendable/Reusable Model OpenAccess to Data Frontend Semantic Data-driven Viz. User-friendly Navigate through LD Fresh look & feel ListView 2 VizView Data Download
  10. 10. ….Domain Experts in any field Journal Articles Conference Paper Book Chapters Book Patent News letter Video Performance Presentation Essay ReviewTranslation Report Play Script
  11. 11. Scholars@Cornell Highlights from Demo VIZ-VIVO
 Uberization 
 ✴ semantic graph meets dynamic web ✴ turning data into a knowledge ✴ best of the best citation data
  12. 12. The article is published in Personality and Social PsychologyBulletin. Chen, Y-R (Cornell) co-authored an article with Blader, S.L. and Shirako A. (New York). https://www.linkedin.com/pulse/visual-analytics-uncovering-why-your-data-bartosz-mozyrko Citation data Zoomable Collaboration Wheel Global Impact Past Future Ethics VIZ-VIVO Proposition Fingerprints of a Faculty
  13. 13. Uberization Channel of Citation Entries (VIVO) Harvester API Citation Entry Articles Bin Journals Bin Curation Bins Ranked List of Citation Data Sources Uber Record Data Validation API Linked Open Data Clean and Complete Data Inconsistent/Incomplete Data
  14. 14. Pilot Phase - Key Questions • Library nudge a university-wide bottom-up coordinated process? • Cornell highly decentralized in research info mgmt • Role of library? Role of academic units? • No central mandate or common RIM system • Data Quality • Automated curation - How much can we do? • Human curation - how much? who? • Many user stories - sweet spot for Scholars@Cornell? • Deans, department chairs, university administration • University communications and outreach • Faculty and researchers • Prospective students and faculty • Ongoing investment to sustain?
  15. 15. QUESTIONS ? Sandy Payette, Jon Corson-Rikert Muhammad Javed, Tim Worrall, Jim Blake, Joseph McEnerney Jill Wilson, Mary Beth Martini-Lyons, Kathy Chiang George Kozak, Holly Mistlebauer, Jason Kovari, Adam Smith http://about.scholars.cornell.edu http://demo.scholars.cornell.edu/scholars/ username: scholars password: libvivo1 Learn more….

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