Investigating Impact Metrics for Performance_0815_2016_FINAL.pptx (5.18 MB)
Investigating Impact Metrics for Performance for the US-EPA National Center for Computational Toxicology
The U.S. Environmental Protection Agency (EPA) Computational Toxicology
Program integrates advances in biology, chemistry, and computer science to help
prioritize chemicals for further research based on potential human health
risks. This work involves computational and data driven approaches that
integrate chemistry, exposure and biological data. We have delivered public access
to terabytes of open data, as well to a large number of publicly accessible
databases and applications, to support the research efforts for a large
community of scientists. Many of our contributions to science are summarily
described in research papers but to date
we have not optimized our contributions to inform altmetrics statistics associated with
our work. Critically missing from altmetrics is access to our numerous software
applications and web service accesses, as well as the growing importance of our
experimental data and models (e.g ToxCast, ExpoCast, DSSTox and others) to the scientific
and regulatory communities. This
presentation will provide an overview of our efforts to more fully understand,
and quantify, our impact on the environmental sciences using a combination of
our measurement approaches and available altmetrics tools. This abstract
does not reflect U.S. EPA policy.