popbr / data-integration

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Data Integration for the Study of Outstanding Productivity in Biomedical Research

This repository serves to share two programs:

A repo for the Honors Thesis/Prospectus Project

This project is authored by Dr. Clément Aubert and Noah Sleeper for the use in Mr. Sleeper's Honors Thesis at Augusta University. It is intended to work with Dr. Andrew Balas's research at Augusta University in looking at ways to generate qualitative measures of academic researchers/instutions/entities.

This project may be downloaded for the purposes of academic research or inquery, but please note that this project is only a tool for the collection and examination of databases and the data within said databases. This project and its authors do not claim ownership over any files downloaded or any data handled by the project, nor do they claim 100% accuracy in conclusions drawn from any results user may recieve.

This project relies on the use of different technologies to function. All use of these programs/entities falls under fair use.

Data Integration for the Study of Outstanding Productivity in Biomedical Research

The purpose, motivation and challenges behind this project are presented in

C. Aubert, A. Balas, T. Townsend, N. Sleeper, C.J. Tran, Data integration for the study of outstanding productivity in biomedical research, in: Proceedings of the 15th International Conference on Current Research Information Systems (Cris2022), Procedia Computer Science, Volume 211, 2022, pp. 196-200. http://hdl.handle.net/11366/1987, https://doi.org/10.1016/j.procs.2022.10.191.

Technologies

For a full list of dependencies, please have a look at the POM.xml file.