Open Science for Synthesis (OSS 2014) was a bi-coastal data science training program hosted by NCEAS in partnership with University of North Carolina’s Renaissance Computing Institute (RENCI). During the training, participants formed small synthesis teams to apply the software and data skills they acquired during the training to group research projects. One of the NCEAS breakout groups focused on examining the issue of California drought as it relates to ecosystem resistance. In a recent journal article in Ecosphere, eight OSS participants use predictions of water-use efficiency based on satellite data to make determinations about drought resistance across varying types of ecosystems.
The three week long OSS workshop included 45 early career scientists who participated in a bi-coastal, intensive hands-on learning experience with exercises in all technical aspects of data integration, visualization, and virtual scientific collaboration.
“Following OSS 2014, the Drought Group was committed to evaluating drought effects across California. OSS gave us the tools we needed to work together and complete this research. Our goal was to create reproducible research and disseminate our results to the broader science community.”
- Sparkle Malone, Rocky Mountain Research Station and lead author
The Ecosphere publication represents tangible results coming from this successful collaborative technical training process. Looking to the future, Matt Jones, NCEAS Director of Research and Development, is spearheading the next collaborative data science seminar. The 2017 program, funded by the National Academy of Science through the Gulf Research Program, will train researchers in data science synthesis techniques as they relate to the repercussions of the 2010 Deepwater Horizon Oil Spill.
Drought resistance across California ecosystems: evaluating changes in carbon dynamics using satellite imagery
Malone, S.L., M.G. Tulbure, A.J. Perez-Luque, T.J. Assal, L.L. Bremer, D.P. Drucker, V. Hillis, S. Varela, and M.L. Goulden
Ecosphere, 2016. doi:10.1002/ecs2.1561