Link: University of Iowa

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What is CTSAsearch?

CTSAsearch is a prototype demonstrating federated search using Linked Open Data published by members of the CTSA Consortium and other interested parties. To try it out, use the form below or click on the "CTSA Search" entry in the menu on the left to see a ranked list of matching investigators. Use the second form or click on the "CTSA Map" entry in the menu to visualize coauthorship amongst the matching investigators.

Search for Investigators at Multiple Institutions

Display map    Text only
Text and UMLS concepts
UMLS concepts (including support for boolean search using &,|, and !)

Current Status

  1. SPARQL endpoints queried: 10
  2. Institutions indexed: 19
  3. Total persons indexed: 124,945
  4. Total publications by those persons indexed as part of their profile: 1,325,716
  5. Total co-author pairs (two people on the same paper): 2,036,131
  6. The harvesting times listed below are the times required to interrogate the respective SPARQL endpoints and cache the results locally at Iowa.
Currently Harvested SitesPlatformHarvesting
Chicago Women in STEM (Argonne National Lab, Fermilab, Northwestern, U. Chicago)SciVal Experts and VIVO1:11:12
Cornell UniversityVIVO38:24
Duke UniversityVIVO1:07:42
Harvard UniversityProfiles1:22:42
Indiana UniversitySciVal Experts and VIVO17:07
Northwestern UniversitySciVal Experts and VIVO1:43:53
Oregon Health Science UniversitySciVal Experts*
State University of New York - REACH (Stony Brook University, SUNY College of Optometry, SUNY Downstate Medical Center, University at Buffalo, Upstate Medical University)VIVO0:44
University of California, DavisSciVal Experts and VIVO19:43
University of California, San FranciscoProfiles*
University of FloridaVIVO1:19:40
University of IowaLoki6:01
Note: sites in italics are currently harvested by means other than SPARQL queries on LOD.

Indexed Content

  1. Persons and their associated properties (name, research statement, etc.)
  2. Academic Articles for each person with associated properties. Where DOIs or PMIDs exist additional information is added from MEDLINE, including
    1. Abstract
    2. Keywords
    3. MeSH terms
    4. Chemicals
    5. Genes
    We currently use pmid2doi data from from and to crosswalk DOIs to PMIDs.

We harvest linked open data through SPARQL endpoints using queries based on the VIVO ontology. If you would like to participate, contact Dave Eichmann with details on how to access your SPARQL endpoint.

Aug 27, 2014 8:07:18 AM – Institute for Clinical and Translational Science
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