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Type: | Resource | |
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Created: | Jan 24, 2019 at 6:42 p.m. | |
Last updated: | Aug 27, 2019 at 2:17 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Abstract
The water science community continually develops and adopts technologies to improve our ability to openly collaborate and share workflows. Ultimately, this will have a transformative impact on how we address the challenges associated with collaborative and reproducible scientific research. One solution to these problems is to utilizing Jupyter notebooks, an open-source platform for creating metadata-rich toolchains for modeling and data analysis applications. Combining this technology with publicly available datasets from agencies such as USGS, NASA, and EPA enables researchers to easily prototype and execute data-intensive toolchains. CUAHSI has invested in this technology by establishing a free and open source web platform for scientists to (1) conduct data intensive and computationally intensive collaborative research, (2) utilize high performance libraries, models, and routines within a pre-configured cloud environment, and (3) enable dissemination of research products. This seminar will discuss CUAHSI’s investment in JupyterHub for supporting water science research, training, and education. Participants can expect a primer on JupyterHub and the cyberinfrastructure that has been designed to support these workflows, as well as detailed demonstrations of common educational and research use cases. A basic understanding of HydroShare.org and the Python programming language are helpful, but not required for participation in the live demonstrations.
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How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
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