Presenters-0609: Difference between revisions

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{{Presenters temp
{{Presenters temp
|CSDMS meeting event title=CSDMS 2022 Webinars
|CSDMS meeting event title=CSDMS 2023 Webinars
|CSDMS meeting event year=2023
|CSDMS meeting event year=2023
|CSDMS meeting presentation type=Webinar
|CSDMS meeting presentation type=Webinar
|CSDMS meeting webinar date=2023-03-08T10:00:00.000Z
|CSDMS meeting webinar registration URL=https://cuboulder.zoom.us/meeting/register/tJwrcuytqjMvGNHv6F3X63st2PsGoaRZ7mUV
|CSDMS meeting first name=Craig
|CSDMS meeting first name=Craig
|CSDMS meeting last name=Willis
|CSDMS meeting last name=Willis
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|CSDMS meeting email address=willis8@illinois.edu
|CSDMS meeting email address=willis8@illinois.edu
|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
}}
{{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
}}
}}
{{Presenters presentation
{{Presenters presentation
|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.
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|CSDMS meeting participants=0
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{{Presenters additional material
{{Presenters additional material
|Working group member=Marine Working Group, Terrestrial Working Group, Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Carbonates and Biogenics Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Human Dimensions Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group, Coastal Vulnerability Initiative, Continental Margin Initiative, Artificial Intelligence & Machine Learning Initiative, Modeling Platform Interoperability Initiative, River Network Modeling Initiative
|Working group member=Marine Working Group, Terrestrial Working Group, Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Human Dimensions Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group, Coastal Vulnerability Initiative, Continental Margin Initiative, Artificial Intelligence & Machine Learning Initiative, Modeling Platform Interoperability Initiative, River Network Modeling Initiative
}}
}}

Latest revision as of 16:34, 11 June 2025

CSDMS 2023 Webinars


Publishing Transparent and Reproducible Computational Research with Whole Tale


Registration link: https://cuboulder.zoom.us/meeting/register/tJwrcuytqjMvGNHv6F3X63st2PsGoaRZ7mUV

Craig Willis

University of Illinois Urbana-Champaign, United States
willis8@illinois.edu
Bertram Ludaescher University of Illinois Urbana-Champaign United States


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:
  • Marine Working Group
  • Terrestrial Working Group
  • Coastal Working Group
  • Education and Knowledge Transfer (EKT) Working Group
  • Cyberinformatics and Numerics Working Group
  • Hydrology Focus Research Group
  • Chesapeake Focus Research Group
  • Critical Zone Focus Research Group
  • Human Dimensions Focus Research Group
  • Geodynamics Focus Research Group
  • Ecosystem Dynamics Focus Research Group
  • Coastal Vulnerability Initiative
  • Continental Margin Initiative
  • Artificial Intelligence & Machine Learning Initiative
  • Modeling Platform Interoperability Initiative
  • River Network Modeling Initiative