InGeOWorkshop 2019

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Convenors: Asti Bhatt

Location: 109 N Guadalupe St (exit Eldorado main door, turn right, walk to end of block)

Coffee Shop Street small.jpg

Geoscientists rely on observations from diverse instruments that are analyzed together and often assimilated in a model to arrive at a scientific result. This requires effective collaboration between scientists with different resources, which is currently a lengthy and laborious process. This results into individual researchers needing many resources before they can conduct effective research or get credit for their work.

The Ingegrated Geoscience Observatory (InGeO) Project tackles the problem of seamless collaboration between geoscientists by creating a platform where the data from disparate instruments can be brought together with software tools for data interpretation provided by the instrument operators. The InGeO website outlines the project and resources available - https://ingeo.datatransport.org/home/.

There are 2 primary goals of the InGeO project:

1. Provide tools that make it easy for geospace researchers to colaborate, share work, reproduce results, and build on tools that have already been developed. 2. Educate the geospace community on best practices for software development and data archiving to ensure data and the tools needed to work with it are available to a broad range of researchers in the community with minimal barriers to entry.

Our solution to goal 1 has been Resen - https://ingeo.datatransport.org/home/resen. This allows community developed toolkits to be easily accessed and used and creates a convenient mechanism for reserachers to save and share not only their results, but the analysis they did to produce them. Resen is written in python 3 and is available at https://github.com/EarthCubeInGeo/resen with documentation, including installation and workflow instructions at https://resen.readthedocs.io/en/latest/. Currently, the available software packages in Resen allow you to access data sources including MANGO, Madrigal and SuperDARN. We plan to add functionality for other data sources in the future releases.

At this workshop, we will be presenting the functionalities of Resen, and sign-up users for the online Resen tool. You will be able to sign-in and explore the functionalities of this community tool. If you are interested in using the downloadable version of the Resen tool, please go through the documentation at https://resen.readthedocs.io/en/latest/ - at the workshop we can answer your questions.

If you are a community Python package developer, or a data provider, we will work with you on figuring out how to make your package and data available through Resen.