Understanding existing metadata and derived metrics in existing repositories and using bibliometric methods to computationally derive more granular classification schemes in order to identify types of projects
Dr. Stuart Turner, University of California, Davis
We are conducting research on healthcare related open source applications, especially those used in the clinical domain (e.g. health records, decision support, etc.). This is an extension to prior work [Hogarth MA, Turner S. A Study of Clinically Related Open Source Software Projects. Proc AMIA Symp. 2005; 330-334. (pubmed id: 18779058)].
We are looking at several research objectives, including better understanding existing metadata and derived metrics in existing repositories (including SourceForge.net) and using bibliometric methods to computationally derive more granular classification schemes to help identify types of projects (Sourceforge's Medical Science Applications' is too coarse).