Navigable topic maps for scientific text

Attempting to make sense of the large-scale organization of a complex field of research is both very challenging and very common. All working scientists benefit from being able to understand the landscape of both scientific funding and publication and yet the scale of both the published literature and funding agencies portfolios are too large to be able to understand easily. We want to provide practical mapping tools that can help working scientists navigate this bewildering landscape.

Here, we present a highly-interactive mapping system based on a publicly available collections of funded scientific grants from the National Institutes of Health (NIH, source: CRISP). These documents comprise a (somewhat) comprehensive view of federally funded biomedical research in the United States (given that funding is also provided by other, non-NIH sources).

We hope that this tool allows scientists to examine how projects are being funded by the various NIH institutes in order to facilitate and assist their own research efforts.

Specifically, these maps allow online users to:

  • view the large-scale organization of the collection
  • zoom in to view small-scale subsections in detail
  • browse and select groups of documents to evaluate in a tabulated form
  • search the collection
  • view graphical partitions of the collection based on a number of different overlays, coloring- and labeling-schemes.
  • ... plus additional features that we are continuously updating and adding to. Please, take our survey and tell us of any other features that you'd like to see.

These maps were constructed using cutting-edge, well-studied data-mining and information-visualization methods within a state-of-the-art visualization system built and maintained by Chalklabs (an innovative startup company based in Bloomington Indiana).

Acknowledgements

This work is funded by the National Institute of Neurological Diseases and Stroke (NINDS) and the National Institute of General Medical Science (NIGMS). Early Support was provided by NSF (IIS-0513650) and unrestricted funds from the Information Sciences Institute.

































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