URMC Research Network

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About URMC Research Network

The URMC Research Network is an implementation of the open source "Profiles Research Networking Software" that was developed under the supervision of Griffin M. Weber, MD, PhD, with support from Grant Number 1 UL1 RR025758-01 to Harvard Catalyst: The Harvard Clinical and Translational Science Center from the National Center for Research Resources and support from Harvard University and its affiliated academic healthcare centers.

The URMC Research Network is heavily based on the retrieval and updating of publications and MeSH terms and other keywords from PubMed. The Network provides URMC faculty with specialized research profiles that display accomplishments to the research community and the public.

Our eCV platform that is fundamental to the display of dynamic web content, servicing information requirements for the Clinical, Research, Community and Education Missions, has been extended to augment publication information with standard profile data from multiple sources. Essentially, information flows from the researcher through eCV to the URMC Research Network.

The University of Rochester Medical Center has been an active member of the Profiles Research Networking Software community since 2010. URMC has taken part in the development of the software via the active participation in regular Profiles RNS Users Group meetings, and through the testing and contribution of fixes to the software. When you view a person's profile, two types of information are displayed:
  1. Managed Descriptions
    This is the typical information listed in a research profile, including name, titles, faculty appointments, phone number and email address. Faculty awards, narrative, and photos are automatically pulled from their URMC eCV.

  2. Passive Networks
    Passive networks are formed automatically when faculty share common traits such as being in the same department, co-authoring the same paper, or researching the same topics (as defined, for example, by the "MeSH" keywords or other keywords assigned to their publications). The passive networks a person belongs to are shown on the right side of the page when viewing a profile.