|Accuracy of Models for Mapping the Medical Sciences
This project aims to provide a highly accurate interactive map of medical research that can be easily used by both technical and non-technical users. Most current science maps in use today are small in scale and have not been validated. Accurate decisions require high quality and high coverage data, well defined and tested data analysis workflows, and a resulting representation that matches the visual perception and cognitive processing capabilities of human users.
Phase I of this project compares and determines the relative accuracies of maps of medical research based on commonly used text-based and citation-based similarity measures at a scale of over two million documents.
The following people, although not part of the formal team, will also contribute to the project.
Project listserv: firstname.lastname@example.org
Analysis Input Data
Term Frequency Data
Analysis results will also be made available from this site. They will comprise:Analysis Result Data
This project is funded by NIH SBIR Contract HHSN268200900053C.
Indiana University's Big Red supercomputer used in this study is supported by the National Science Foundation under Grant No. ACI-0338618l, OCI-0451237, OCI-0535258, and OCI-0504075. This research was supported in part by the Indiana METACyt Initiative. The Indiana METACyt Initiative of Indiana University is supported in part by Lilly Endowment, Inc. This work was supported in part by Shared University Research grants from IBM, Inc. to Indiana University. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).