Resen: A Reproducible Research Environment and Path Forward with pyHC

Abstract:

The Reproducible Software Environment (Resen) is an open source python tool that was developed with the goal of facilitating computational reproducibility for the geospace research community. Resen also packages several commonly used community analysis tools, removing the need for users to install those tools and lowering the barrier of entry to doing research. Resen provides a JupyterLab interface to containerized (e.g., Docker) computational environments called buckets, which contain the user’s software and the data required to perform research. Resen buckets are easy to share and can be published online citable repositories. Here we present the current status of the Resen project and future plans to work within the PyHC community. We will discuss future plans for bringing Resen into compliance with the PyHC Standards and how adherence to the PyHC Standards will improve the usability and maintainability of Resen.