VIVO A semantic web profiling system that enables collaboration and discovery among scientists across interdisciplinary networks Chin Hua Kong Sr. System.

VIVO A semantic web profiling systemthat enables collaboration and discovery among scientists across

interdisciplinary networks

Chin Hua KongSr. System Architect / Project ManagerCyberinfrastructure for Network Science Center,Department of Information and Library Science,School of Computing and Informatics

[email protected]

VIVO

VIVO

VIVO http://vivo.iu.edu

An open-source semantic web application that enables the discovery of research and scholarship across disciplines in an institution.

Populated with detailed profiles of faculty and researchers; displaying items such as publications, teaching, service, and professional affiliations.

A powerful search functionality for locating people and information within or across institutions.

VIVO TeamCornell University: Dean Krafft (Cornell PI), Manolo Bevia, Jim Blake, Nick Cappadona, Brian Caruso, Jon Corson-Rikert, Elly Cramer, Medha Devare, John Fereira, Brian Lowe, Stella Mitchell, Holly Mistlebauer, Anup Sawant, Christopher Westling, Rebecca Younes. University of Florida: Mike Conlon (VIVO and UF PI), Cecilia Botero, Kerry Britt, Erin Brooks, Amy Buhler, Ellie Bushhousen, Chris Case, Valrie Davis, Nita Ferree, Chris Haines, Rae Jesano, Margeaux Johnson, Sara Kreinest, Yang Li, Paula Markes, Sara Russell Gonzalez, Alexander Rockwell, Nancy Schaefer, Michele R. Tennant, George Hack, Chris Barnes, Narayan Raum, Brenda Stevens, Alicia Turner, Stephen Williams. Indiana University: Katy Borner (IU PI), William Barnett, Ryan Cobine, Shanshan Chen, Ying Ding, Chin Hua Kong, Russell Duhon, Jon Dunn, Micah Linnemeier, Nianli Ma, Brian Keese, Robert McDonald, Barbara Ann O'Leary, Mark Price, Yuyin Sun, Alan Walsh, Brian Wheeler, Angela Zoss. Ponce School of Medicine: Richard Noel (Ponce PI), Ricardo Espada, Damaris Torres. The Scripps Research Institute: Gerald Joyce (Scripps PI), Greg Dunlap, Catherine Dunn, Brant Kelley, Paula King, Angela Murrell, Barbara Noble, Cary Thomas, Michaeleen Trimarchi. Washington University, St. Louis: Rakesh Nagarajan (WUSTL PI), Kristi L. Holmes, Sunita B. Koul, Leslie D. McIntosh. Weill Cornell Medical College: Curtis Cole (Weill PI), Paul Albert, Victor Brodsky, Adam Cheriff, Oscar Cruz, Dan Dickinson, Chris Huang, Itay Klaz, Peter Michelini, Grace Migliorisi, John Ruffing, Jason Specland, Tru Tran, Jesse Turner, Vinay Varughese.

VIVO

Network Analysis (With Whom) Co-author and co-investigator visualizations show collaboration network of a person.

VIVO

Topical Analysis (What) Science map overlays show where a person, department, or university publishes most in the world of science. 5

VIVO

Topical Analysis (What) Comparison view shows distincts in knowledge invention among schools or departments. 6

VIVO

International Researcher Network (iNRN)

Geospatial Analysis (Where) A global search application for discovering available research resources at the world scale? http://nrn.cns.iu.edu

VIVO Book

VIVO BookTank, Chintan, Micah Linnemeier, Chin Hua Kong, and Katy Börner. 2012.

"Analyzing and Visualizing VIVO". In VIVO: A Semantic Approach to Scholarly Networking and Discovery, edited by Börner, Katy, Mike Conlon, Jon Corson-Rikert, and Ying Ding, Ch. 7. Morgan & Claypool Publishers LLC.

CyberInfrastructure Shell:A Plug-and-Play Macroscopes FrameworkChin Hua KongSr. System Architect / Project ManagerCyberinfrastructure for Network Science Center (CNS),Department of Information and Library Science (ILS),School of Computing and Informatics

[email protected]

CIShell

Watch the video

Microscopes Telescopes Macroscopes

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MacroscopesDecision making in science, industry, and politics, as well as in daily life, requires that we make sense of datasets representing the structure and dynamics of complex systems

Macroscopes provide a vision of the whole, helping us synthesize the related elements and enabling us to detect patterns, trends, and outliers while granting access to myriad details

Rather than making things larger or smaller, macroscopes let us observe what is too great, slow, or complex for the human eye and mind to notice and comprehend

CIShell

TEXTrend

NWB

EpiC

Sci2

Common algorithm/tool pool Easy way to share new

algorithms Instantly create a custom tool Workflow export and rerun Auto conversion into web

service

Future

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CIShell Plug-and-Play Macroscopes

CIShell

CIShell

CIShell-Powered Tools http://cishell.org

Network Workbench Tool (NWB)The study of biomedical, social and behavioral science, physics, and other networks

Science of Science Tool (Sci2)For science policy makers and researchers to study scientometrics, impacts, and trends in funding, publications, etc.

TexTrend ToolA trend- and text-analysis tool that supports business and governmental decision making

Epidemic Tool (EpiC)Analysis, modeling, and visualization of data streams such as diffusion patterns of the H1N1 virus over geographic space

DynaNetsThe study of evolving networks by University of Amsterdam, The Netherlands

SISOB An Observatory for Science in Society Based in Social Models by nine consortium members

Network Workbench Tool http://nwb.cns.iu.edu

The Network Workbench (NWB) tool supports researchers, educators, and practitioners interested in the study of biomedical, social and behavioral science, physics, and other networks.

In February 2009, the tool provides more 169 plugins that support the preprocessing, analysis, modeling, and visualization of networks. More than 50 of these plugins can be applied or were specifically designed for S&T studies.

Börner, Katy, Huang, Weixia (Bonnie), Linnemeier, Micah, Duhon, Russell Jackson, Phillips, Patrick, Ma, Nianli, Zoss, Angela, Guo, Hanning & Price, Mark. (2010). Rete-Netzwerk-Red: Analyzing and Visualizing Scholarly Networks Using the Network Workbench Tool. Scientometrics. Vol. 83(3), 863-876.

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NWB

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NWB

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User Interface

NWB

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Visualization Example

NWB

Thank You