Presenters-0609: Difference between revisions
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|CSDMS meeting title presentation=Publishing Transparent and Reproducible Computational Research with Whole Tale | |CSDMS meeting title presentation=Publishing Transparent and Reproducible Computational Research with Whole Tale | ||
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{{Presenters coauthors | |||
|CSDMS meeting first name co1=Bertram | |||
|CSDMS meeting last name co1=Ludaescher | |||
|CSDMS meeting institute co1=University of Illinois Urbana-Champaign | |||
|CSDMS meeting country co1=United States | |||
|CSDMS meeting state co1=Illinois | |||
|CSDMS meeting email address co1=ludaesch@illinois.edu | |||
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{{Presenters presentation | {{Presenters presentation | ||
Revision as of 08:36, 24 January 2023
CSDMS 2022 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.
Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know (CSDMSweb@colorado.edu) and we will respond as soon as possible.
Of interest for:
