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ORNG Presentation, AMIA 2013


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ORNG Presentation, AMIA 2013

  1. 1. Clinical and Translational Science Institute / CTSI at the University of California, San FranciscoOpen Research Networking Gadgets (ORNG)
  2. 2. But First….• What is a Research Networking Tool? – “at UCSF, it’s basically like LinkedIn for biomedical researchers”• What is Linked Open Data? – Web pages that computers and people can read and understand• What is OpenSocial? – An API for adding web applications (gadgets) into a social or research networking web site
  3. 3. Evolution of Social and Research Networking • Social Networking is recognized as a powerful means of online collaboration • Facebook dominates the consumer space, OpenSocial moves to the enterprise space • Research Networking Tools adopt Linked Open Data (LOD) and the VIVO ontology • We combine the VIVO data standard with the OpenSocial application standard -> ORNG
  4. 4. What is ORNG?• An extension made to both the Profiles RNS and VIVO research networking tools to allow them to run Linked Open Data/OpenSocial applications (ORNG gagets)• And of course, the collection of ORNG gadgets themselves:
  5. 5. How did we build ORNG? An Ontology Driven Approach to Improve the OpenSocial Standard Eric Meeks (UCSF), Leslie Yuan (UCSF), Griffin Weber (Harvard), Maninder Kahlon (UCSF) Clinical and Translational Science Institute, University of California, San Francisco Harvard Catalyst, The Harvard Clinical and Translational Science CenterIntroduction NIH Grant Match* and Recommended Reading* Gadgets using DIRECT Match Gadget using researcher Solution• Science 2.0 is happening, and Research Networking Tools such as researcher data obtained with different custom API’s data obtained with VIVO RDF via JSON • An open source product called Babel which was developed by the Profiles, VIVO, SciVal Experts and others have become MIT Simile Project was discovered. Babel provides many data commonplace throughout our institutions. translation services, including RDF/XML to JSON.• Our Research Networking Tools fulfill a need that can not be met by • A proof of concept system was created by integrating the production commercial social networking sites such as LinkedIn, Facebook and UCSF Profiles code with pre-release VIVO compliant Profiles code, Google+ because we need institutional provenance for our data and integrating Babel with Apache Shindig. content and first class support for our data model. • The DIRECT Match Gadget was built to test the proof of concept• Commercial social networking sites have become platforms. This system. It worked! It has also been successfully unit tested with allows them to leverage numerous development communities and RDF/XML from various external VIVO compliant sources. more rapidly deliver innovative functionality.• Our Research Networking Tools should also become platforms. We believe that delivering more functionality more quickly to our RDF/XML converted to JSON for Griffin Weber researchers will increase productivity and accelerate science.Problem• Converting a web site to a web platform is not trivial. It can be done * Built by Andy Bowline of the independently by a large software development team, or it can be Wake Forest School of Medicine. done by leveraging existing open source solutions such as Apache Shindig.• The software resources available to our institutions are limited as compared to a recognizable commercial site such as Facebook or LinkedIn. Apache Shindig, which is based on the OpenSocial OpenSocial with RDF/XML converted to JSON via Simile Babel standard, is the more attractive if not only viable solution.• The OpenSocial standard does not have first class support for our data model. Fortunately OpenSocial is extendable and this gives us an opportunity to address our specific data model needs. Browser Backend ServicesApproach OR*• Manually extending OpenSocial with custom fields to match our data HTML Content Next Steps model was always an option but an expensive one from a development perspective and a flawed one because customization • Integrate our solution into the RDF based version of Profiles and breaks interoperability. make our code available to the open source community.• Convergence towards RDF and the VIVO ontology across our • Promote our solution to the OpenSocial Foundation. Other verticals Research Networking Tools presented an opportunity. With a M D R are suffering from the same domain based data model issues with X L F standard ontology we now have a standard way to express our data, OpenSocial that we encountered in bioinformatics. / but how can we integrate the VIVO ontology into OpenSocial? • Get you to help us build our community for Open Research• OpenSocial works well with JSON but not with any standard Domain Object Request Request Proxy Networking Gadgets (ORNG) at! serialized forms of RDF such as RDF/XML or Turtle. A standard Babel means of converting RDF to JSON was required. JSON Domain Data Acknowledgments The . This project was supported by NIH/NCRR UCSF-CTSI Grant Number Gadget Content Gadget UL1 RR024131 and Harvard Catalyst Grant Number 1 UL1 RR025758- Specification Gadget Hosting Servers 01. Its contents are solely the responsibility of the authors and do not http://anywhere/gadget.xml necessarily represent the official views of the NIH. We would like to thank Andy Bowline of Wake Forest, MIT Libraries and Ontology. MIT CSAIL as well as all other contributors to the SIMILE Project. * Successfully tested with VIVO (ask for demo!) but not yet implemented. We also want to thank Andy Smith and the OpenSocial Foundation.
  6. 6. An Analysis of Social and Research Networking Detailed User Personalized Online Profile Content CollaborationOpen Source RNTs
  7. 7. Detailed User Profile• Researchers do many things: their data is dynamic and all over the web Tweets Presentations on slideshare Videos on YouTube Code on GitHub• ORNG strengthens RNTs by aggregating and presenting researcher data in “real time” from multiple web sources
  8. 8. Personalized Content• Andy Bowline of Wake Forest has done a great job with ORNG in addressing this need – Recommended Readings Gadget – Funding Opportunities Gadget• UCSF partnered with Ying Ding of Indiana University to have students prototype an ORNG “relevancy” engine
  9. 9. Online CollaborationRNTs have the data and connections; industrytools have the collaborative functionality.ORNG brings the two together.•UCSF integrated Salesforce Chatter intoProfiles•Added “Follow in Chatter” and “Create a groupin Chatter” capabilities to Profiles – The data trail from creating a group is fantastic
  10. 10. Next Steps• Bring ORNG into formal Profiles release• Store OpenSocial data in local RDF (makes it searchable)• Store external metadata in local RDF (searchable)• JSON-LD for gadgets and beyond• Make RDF feature an official part of OpenSocial• Extend RDF feature with VIVO ontology specific feature• Honorable discharge for redundant gadgets• Explore Apache Rave• Build more gadgets! => You and us!
  11. 11. Join the ORNG movement! •Mailing list •App store •Support Eric Meeks, Brian Turner, Anirvan Chatterjee, Leslie Yuan