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

Agenda

• Current State of RNSs

• Growth area for RNSs

• Show Dashboard

• Next Steps

Many, Many RNSs Installed

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

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.

What do other networking companies do?

• LinkedIn

• Facebook

• 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?

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

Demo of the Personalized Statistics Dashboard

Screen Shots in Lieu of Demo

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.

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?