Connecting Heathcare Researchers to Information



William Gunn* William Gunn*, Mendeley Research Networks, San Diego, United States

Track: Business
Presentation Topic: Collaborative biomedical research, academic / scholarly communication, publishing and peer review
Presentation Type: DEMO Interactive Session
Submission Type: Single Presentation

Building: LKSC Conference Center Stanford
Room: DEMO Interactive Session Upper Lobby
Date: 2011-09-17 04:00 PM – 04:15 PM
Last modified: 2011-08-12
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Abstract


This abstract proposes a presentation of Mendeley at the Medicine 2.0 2011 conference with the aim of sharing knowledge to improve collaboration between healthcare researchers. Mendeley is a research workflow and collaboration tool which crowd-sources real-time research trend information and semantic annotations of research papers in a central data store, thereby creating a “social research network” based on research data. We describe how the document central networking model can overcome barriers for collaboration by turning research papers into social objects and making academic data publicly available via an open API. Central to the success of Mendeley has been the creation of a tool that works for the researcher without the requirement to be part of an explicit social network. Mendeley automatically extracts metadata from research papers, allows a researcher to annotate, tag and organize their research collection, and then makes it easy to share this information through the network or to other networks a medical professional may use. The tool integrates with the paper writing workflow and provides advanced collaboration options, thus significantly improving researchers’ productivity. By anonymously aggregating usage data in real time, Mendeley enables rapid, timely discovery of critical information. A network of collaborators and peers thus grows out of shared interest, with the document as the central focus. Within 26 months, Mendeley’s userbase has grown to more than 800,000 users, and the database has grown to more than 70 Million entries, making Mendeley the largest open academic database in the world. Information in the database is accessible directly via Mendeley, or alternatively via Mendeley’s open API. Many third-party developers have used the Mendeley platform to add value to their applications. Significant challenges have had to be overcome in creating a tool that is stable for hundreds of thousands of users, both technically and conceptually. Additional efforts go into activities such as article and author name disambiguation, entity extraction, recommendation engines, and enriching the existing network with semantic information.




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