This session is all about working with data and contains 4 short talks on different themes. The 4 short talks are: Cleaning data and creating tidy data structures to facilitate reproducible research, Reading data directly into your analysis script: Introduction to APIs, From our servers to your research: tutorials and resources for loading NEON data into your preferred computing environment, and Cloud-based data tools for research, collaboration, and workflow documentation in the aquatic sciences: Jupyter Hub and HydroShare. Learn more about Career Central here.