Presenters-0609: Difference between revisions
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|CSDMS meeting abstract presentation=Research communities and peer-review journals are increasingly requiring authors to make available the code and data behind computational results reported in published studies. The Whole Tale platform is an open-access and open source system designed to enable researchers to package and archive their code, data, computational workflow, and information about the computational environment to better enable others to assess and repeat their results. During this webinar, we will introduce participants to the concepts of computational reproducibility and transparency and demonstrate core features of the platform. | |CSDMS meeting abstract presentation=Research communities and peer-review journals are increasingly requiring authors to make available the code and data behind computational results reported in published studies. The Whole Tale platform is an open-access and open source system designed to enable researchers to package and archive their code, data, computational workflow, and information about the computational environment to better enable others to assess and repeat their results. During this webinar, we will introduce participants to the concepts of computational reproducibility and transparency and demonstrate core features of the platform. | ||
|CSDMS meeting youtube code= | |CSDMS meeting youtube code=liteBVSK9ac | ||
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Revision as of 16:37, 8 March 2023
CSDMS 2023 Webinars
Publishing Transparent and Reproducible Computational Research with Whole Tale
Abstract
Research communities and peer-review journals are increasingly requiring authors to make available the code and data behind computational results reported in published studies. The Whole Tale platform is an open-access and open source system designed to enable researchers to package and archive their code, data, computational workflow, and information about the computational environment to better enable others to assess and repeat their results. During this webinar, we will introduce participants to the concepts of computational reproducibility and transparency and demonstrate core features of the platform.
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Of interest for: