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Tools for Reproducibility and Extensibility in Scientific Research

<!--HTML--><p>Open inquiry through reproducing results is fundamental to the scientific process. Contemporary research relies on software engineering pipelines to collect, process, and analyze data. The open source projects within Project Jupyter facilitate these objectives by bringing s...

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Autor principal: Forde, Jessica
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2316046
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author Forde, Jessica
author_facet Forde, Jessica
author_sort Forde, Jessica
collection CERN
description <!--HTML--><p>Open inquiry through reproducing results is fundamental to the scientific process. Contemporary research relies on software engineering pipelines to collect, process, and analyze data. The open source projects within Project Jupyter facilitate these objectives by bringing software engineering within the context of scientific communication. We will highlight specific projects that are computational building blocks for scientific communication, starting with the Jupyter Notebook. We will also explore applications of projects that build off of the Notebook such as Binder, JupyterHub, and repo2docker. We will discuss how these projects can individually and jointly improve reproducibility in scientific communication. Finally, we will demonstrate applications of Jupyter software that allow researchers to build upon the code of other scientists, both to extend their work and the work of others.&nbsp;</p> <p>&nbsp;</p> <p><strong>There will be a&nbsp;follow-up demo session in the afternoon, hosted by iML. Details can be found at&nbsp;</strong><a href="https://indico.cern.ch/event/725992/">https://indico.cern.ch/event/725992/</a></p>
id cern-2316046
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
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spelling cern-23160462022-11-02T22:31:43Zhttp://cds.cern.ch/record/2316046engForde, JessicaTools for Reproducibility and Extensibility in Scientific ResearchTools for Reproducibility and Extensibility in Scientific ResearchEP-IT Data science seminars<!--HTML--><p>Open inquiry through reproducing results is fundamental to the scientific process. Contemporary research relies on software engineering pipelines to collect, process, and analyze data. The open source projects within Project Jupyter facilitate these objectives by bringing software engineering within the context of scientific communication. We will highlight specific projects that are computational building blocks for scientific communication, starting with the Jupyter Notebook. We will also explore applications of projects that build off of the Notebook such as Binder, JupyterHub, and repo2docker. We will discuss how these projects can individually and jointly improve reproducibility in scientific communication. Finally, we will demonstrate applications of Jupyter software that allow researchers to build upon the code of other scientists, both to extend their work and the work of others.&nbsp;</p> <p>&nbsp;</p> <p><strong>There will be a&nbsp;follow-up demo session in the afternoon, hosted by iML. Details can be found at&nbsp;</strong><a href="https://indico.cern.ch/event/725992/">https://indico.cern.ch/event/725992/</a></p>oai:cds.cern.ch:23160462018
spellingShingle EP-IT Data science seminars
Forde, Jessica
Tools for Reproducibility and Extensibility in Scientific Research
title Tools for Reproducibility and Extensibility in Scientific Research
title_full Tools for Reproducibility and Extensibility in Scientific Research
title_fullStr Tools for Reproducibility and Extensibility in Scientific Research
title_full_unstemmed Tools for Reproducibility and Extensibility in Scientific Research
title_short Tools for Reproducibility and Extensibility in Scientific Research
title_sort tools for reproducibility and extensibility in scientific research
topic EP-IT Data science seminars
url http://cds.cern.ch/record/2316046
work_keys_str_mv AT fordejessica toolsforreproducibilityandextensibilityinscientificresearch