vivo2015 - leveraging personalized google analytics for greater rns engagement
TRANSCRIPT
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Clinical and TranslationalScience Institute / CTSIat the University of California, San Francisco
Leveraging Personalized Google Analytics Information for Greater RNS EngagementUCSF – Brian Turner, Eric Meeks, Anirvan Chatterjee
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Agenda
• Current State of RNSs
• Growth area for RNSs
• Show Dashboard
• Next Steps
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Many, Many RNSs Installed
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Traction Galore at UCSF
• UCSF Profiles was visited 1.2 million times Aug 2014-Jul 2015 including:– 150,000 visits from UCSF– 140,000 visits from 2,400 other colleges and
universities
• Profiles information is used in at least 37 applications
• Over 100 news stories linked to UCSF Profiles
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Growth area for RNS
• What percentage actually signs in?
• Approximately 3%– We don’t effectively collect and provide
information back to users.
• Researchers have little insight into who’s paying attention to their work via RNSs.
• RNS teams don’t know who is using the tools and how.
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What do other networking companies do?
• The common denominator is that users are interested in the information. – Who viewed me?– What are my connections up to?– Who do my connections know?
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Dashboard Technology
• Google Analytics– UCSF Profiles has been collecting data with GA
for years– Using GA APIs in real time to access data (first
10K calls/day free!)
• ORNG Gadget– JWT for OAuth2
• See for yourself! https://github.com/CTSIatUCSF/personal-stats-gadget
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Demo of the Personalized Statistics Dashboard
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Screen Shots in Lieu of Demo
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Goals
• Provide information to researchers that they find valuable.
• Get researchers to sign in so we can learn more about their online behavior.
• Use that learning to make RNS even more useful for collaboration.
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Next Steps
• Promote
• Measure use
• Track signed-in users
• Long range: internal network notifications– Co-author won a grant– Co-author published a paper– Altmetrics on researcher’s and co-authors’ papers – Messaging?