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DEPRECATED: Visit FOSS-2020 for current pages

foss-main

CyVerse Learning Institute - Foundational Open Science Skills (FOSS) 2019

Foundational Open Science Skills (FOSS) is a novel, camp-style training designed to prepare principal investigators and their lab teams, both new and established, to meet the growing expectations of funding agencies, publishers, and research institutions for scientific reproducibility and data accessibility.

Prior to the workshop, please visit the Before you arrive page.

Workshop Level

There are no pre-requisites for FOSS, but the course will cover a lot of material in a short time. Participants who have limited computational experience should try to view the Software Carpentry Core Lessons before attending.


Expected outcomes:

  • Familiarity with productivity software for organizing your lab group, communications, and research
  • How to scale out your computation from laptop to cloud and high performance computing (HPC) systems
  • How to manage data for open science and reproducibility
.. toctree::
   :maxdepth: 1

   FOSS 2019 Home <self>

.. toctree::
   :maxdepth: 1
   :caption: Before you Arrive

   before/main
   before/installation
   before/about_cyverse

.. toctree::
   :maxdepth: 1
   :caption: Getting Started

   getting_started/intro
   getting_started/code_of_conduct
   getting_started/agenda
   getting_started/open_sci_lab
   getting_started/glossary

.. toctree::
   :maxdepth: 1
   :caption: Software Essentials

   software_essentials/linux
   software_essentials/version_control
   software_essentials/communication
   software_essentials/websites
   software_essentials/commandline
   software_essentials/R_Studio
   software_essentials/RStudio_Git
   software_essentials/continuous_integration

.. toctree::
   :maxdepth: 1
   :caption: CyVerse

   CyVerse/intro_to_cyverse
   CyVerse/de
   CyVerse/data_store
   CyVerse/vice
   CyVerse/atmo
   CyVerse/tool_integration_app_building_DE


.. toctree::
   :maxdepth: 1
   :caption: Data Management

   Data_management/overview
   Data_management/FAIR
   Data_management/dmp

.. toctree::
   :maxdepth: 1
   :caption: Moving On

   moving_on/xsede
   moving_on/cyberinfrastructure

.. toctree::
   :maxdepth: 1
   :caption: Containers

   Containers/dockeronatmo
   Containers/biocontainers
   Containers/dockerintro
   Containers/dockeradvanced

.. toctree::
   :maxdepth: 1
   :caption: Instructions and Reporting



Course Instructors

  • Amanda Cooksey
  • Tina Lee
  • Tyson Swetnam
  • Ramona Walls

Guest instructors:

  • Fernando Rios (UA Libraries)
  • Michael Mandel (UA Eller College of Management)

About CyVerse

CyVerse Vision: Transforming science through data-driven discovery.

CyVerse Mission: Design, deploy, and expand a national cyberinfrastructure for life sciences research and train scientists in its use.

CyVerse provides life scientists with powerful computational infrastructure to handle huge datasets and complex analyses, thus enabling data-driven discovery. Our powerful extensible platforms provide data storage, bioinformatics tools, image analyses, cloud services, APIs, and more.

While originally created with the name iPlant Collaborative to serve U.S. plant science communities, CyVerse cyberinfrastructure is germane to all life sciences disciplines and works equally well on data from plants, animals, or microbes. By democratizing access to supercomputing capabilities, we provide a crucial resource to enable scientists to find solutions for the future.

CyVerse Homepage: http://www.cyverse.org

Funding and Citations

CyVerse is funded by the National Science Foundation under Award Numbers DBI-0735191, DBI-1265383, and DBI-1743442.

Please cite CyVerse appropriately when you make use of our resources, CyVerse citation policy


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