2. Profiles Research Networking Software (RNS) tools are developing rapidly Many track faculty publications A national networking of 28 institutions using 7 research network platforms connect 50,000 researchers – expertise identified on the basis of publications, index terms Author disambiguation tools provide accurate publication identification
3. UMN Profiles Research Networking System Based on Harvard Catalyst Profiles Used to identify experts and locate collaborators Demographics – PeopleSoft Expertise – PubMed Convergence of traditional publication tracking methods – may drive exploration of collaboration Open data, semantic web techniques are being explored with NIH-endorsed projects
Here is a screen shot of UMN Profiles. It shows demographic information about investigator, Jay Cohn.Profiles displays Dr. Cohn’s references from PubMed, as well as keywords from MeSH. Coauthors are also displayed, as are similar people (based on others who publish articles with similar MeSH headings). Departmental information is also provided, as is “Neighbors” information – that is, information about others who work in the same building, or having an address very similar to Dr. Cohn.
Here is a screen shot of UMN Profiles. It shows demographic information about investigator, Jay Cohn.Profiles displays Dr. Cohn’s references from PubMed, as well as keywords from MeSH. Coauthors are also displayed, as are similar people (based on others who publish articles with similar MeSH headings). Departmental information is also provided, as is “Neighbors” information – that is, information about others who work in the same building, or having an address very similar to Dr. Cohn.
Here is a screen shot of UMN Profiles. It shows demographic information about investigator, Jay Cohn.Profiles displays Dr. Cohn’s references from PubMed, as well as keywords from MeSH. Coauthors are also displayed, as are similar people (based on others who publish articles with similar MeSH headings). Departmental information is also provided, as is “Neighbors” information – that is, information about others who work in the same building, or having an address very similar to Dr. Cohn.