Research into the complex problems of human–environment interactions requires managing, analyzing, and visualizing large and/or diverse data sets. In addition, performing these tasks is increasingly a team effort, requiring collaborative work in virtual environments.
This workshop offers participants hands-on training in managing the lifecycle of their data and code with a focus on using open source tools, including R. Topics include, but are not limited to:
- best practices and techniques for collaborative code development;
- developing and testing code for data management, modeling, and analysis; and
- visualizing and disseminating results.
Workshop content includes material typical of a Software Carpentry workshop and breakout sessions to discuss additional tools of interest based on applicant responses. Participants also apply what they’ve learned to their own data and research problems in consultation with workshop instructors.