Your SlideShare is downloading. ×
0
Putting research networking data where users will actually see it (poster from AMIA 2012 Clinical Research Informatics conference)
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Putting research networking data where users will actually see it (poster from AMIA 2012 Clinical Research Informatics conference)

284

Published on

How does one attract users to research networking platforms like VIVO or Harvard profiles? UCSF used a data-driven strategy, making it easy for others to consume, index, and reuse research networking …

How does one attract users to research networking platforms like VIVO or Harvard profiles? UCSF used a data-driven strategy, making it easy for others to consume, index, and reuse research networking data to substantially increase utilization by distributing data via search engines, external websites, and mobile apps. Poster presented at the AMIA 2012 Clinical Research Informatics conference.

Published in: Technology, Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
284
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
1
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Putting Research Networking Data Where Users Will Actually See It Anirvan Chatterjee, Leslie Yuan, Eric Meeks, Katja Reuter, Cynthia Piontkowski, Maninder Kahlon Clinical and Translational Science Institute, University of California, San FranciscoIntroductionHow does one attract users to research networking How users see the data How it works Monthly reachsystems like VIVO and Profiles? UCSF launched theUCSF Profiles research networking platform inSeptember 2010. We worked to draw users, butcouldn’t convince users to change their behavior. Users of Google and other search engines (including UCSF’s internal We optimized pages for search engines by implementing best practices: improving copy, 27,000 visits search) see our pages come up adding semantic metadata, generating sitemaps,Strategy Search frequently in search results, making linking to related pages, and listing canonical Search engines drive 63% of on- campus visits and 79% of external it easy to access. URLs to prevent double-indexing.We tried to reach our audience on web properties they engines We tried to craft authoritative pages worth linking visits to UCSF Profiles.already used by making it easy to index, consume, Our listings on Google contain an to; 128 UCSF and ~500 non-UCSF websites link Our pages appear on Google searchand reuse our research networking data. We extra line of metadata below the URL. to us, helping boost search engine rankings.implemented this “Profiles Everywhere” strategy via results pages 300k times/month!technology development and outreach to partners. The data powers local researcher and clinician directory information 1,100+ pagesResults on various campus websites. Participating campus websites use our XML and on UCSF campus websitesWe substantially increased UCSF Profiles use by making Campus JSON APIs to embed our data into their pages. This prevents duplicated work (e.g. maintaining powered by our API datadata visible to preexisting web properties. As of March Each page includes links back to2012, 99% of visits to our site don’t begin with direct websites UCSF Profiles, but users don’t have to up-to-date lists of publications for each person), leading to operational efficiencies. Pages refer negligible traffic back totype-in traffic to our home page. Overall visits have click through, as most critical fields us, but ensure that the data’s seen,increased more than fivefold since October 2010. are already listed. and support search rankings. Daily UCSF Profiles visits Daily UCSF Profiles visits from within UCSF network from outside UCSF network 200 1,000 UCSF’s campus directory search 1,750 visits 180 900 160 800 results prominently link to research We developed a lightweight API in JSON format, 140 120 100 700 600 500 Campus profiles on our site. suitable for use in web applications. The UCSF 80 400 Directory team uses the API to automatically add The directory is the source of 60 40 300 200 directory These are the only “more about this links to research profiles, whenever available. 16% of our on-campus visits, 20 0 100 0 person” links on the page. and 3% of external visits. UCSF’s iOS, Android, and mobile webConclusion apps display faculty research The mobile web team uses our JSON API to pullWe recommend a strong focus on integrating data Campus interests and recent publications directly from the mobile directory. live data from our system in realtime using 100 viewsfrom research networking websites with search JavaScript, which gets displayed to end-users.engines and high-traffic campus web properties as a mobile Publications link to PubMed Mobile, to We added a custom “mobile” flag to our JSON 74% of visits from iPhone users.critical step to ensure utilization. API, which returns links to PubMed Mobile (as Reach expected to increase as app allow browsing abstracts on the go. Users can connect to UCSF Profiles opposed to regular PubMed) for publications. adoption of Android app grows.This project was supported by NIH/NCRR UCSF-CTSI Grant Number UL1 RR024131. Its contents are for more details. solely the responsibility of the authors and do not necessarily represent the official views of the NIH. Clinical and Translational Science Institute / CTSI Accelerating Research to Improve Health

×