Training Sessions

The OntoSoft project is offering training sessions for geoscientists to learn best practices in software and data sharing, provenance documentation, and scholarly publication. Training materials are freely available on line in this web site.

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Registration

There is no registration fee to attend these training sessions. To RSVP, please email us with your name, institution, and training session date.


Training Sessions

The training sessions (webinars and face-to-face) are all free of charge, but please register by emailing us. Additional webinars and sessions will be announced in this site and in the SPF general mailing list.

The training sessions are 3.5 hours, including a 30min break in the middle.

Here are more details about each session.

Upcoming and Past Training Sessions

Additional training sessions will be offered at community events and institutions upon request. Please contact us to inquire, or to help us arrange a session in your institution.

Please subscribe to this mailing list if you would like to receive notifications of training sessions and other general announcements about SPF.


Intended Audience

The training sessions have been attended by diverse audiences with different motivations:

  • geoscientists, interested in getting credit for the data and software they create, writing reproducible papers, and practicing open science
  • data specialists, seeking to document formally their complex data processing workflows
  • group leads and center directors, wanting an update on best practices and recommendations for open science to prepare for upcoming funding agency requirements concerning open science
  • students and early career researchers, eager to learn skills that will prepare them for future science practice

The training sessions do not assume any programming or computer science background. They begin teaching concepts, principles, and best practices, and then give practical recommendations and pointers to resources to implement them.


Training Topics

The training is divided into two sessions, each 90mins with a break in the middle. Training topics are listed below.

Topic Concepts covered
Scientific publications in the future An overview of the benefits of augmenting papers with data, software, and provenance, all properly documented and cited
Making data accessible How to publish data in a public shared repository, select and use a license, and cite it in an article
Making software accessible How to publish software in a public repository, select and use a license, and cite it in an article
Describing software with metadata How to describe general metadata about software so others can understand and use it
Describing the provenance of results How to describe provenance in terms of the computations that were executed in order to obtain the results reported in a paper
Describing methods as workflows How to describe general computational methods in a paper as data flow across software components

For each training topic, basic concepts and best practices are introduced. A summary at the end provides specific advice and pointers to implement those best practices.


Instructors

Cedric David
Jet Propulsion Laboratory
California Institute of Technology
Ibrahim Demir
IIHR Hydroscience & Engineering Institute
University of Iowa
Robinson W. Fulweiler
Department of Earth and Environment
Department of Biology
Boston University
Daniel Garijo
Information Sciences Institute
University medicdrugstore2015.com of Southern California
Yolanda Gil
Information Sciences Institute and
Department of Computer Science
University of Southern California
Chris Mattmann
Jet Propulsion Laboratory
California Institute of Technology
Ji-Hyun Oh
Jet Propulsion Laboratory
California Institute of Technology
Scott Peckham
Institute of Arctic and Alpine Research
University of Colorado at Boulder
Suzanne Pierce
Texas Advanced Computing Center and
Jackson School of Geosciences
University of Texas Austin
Varun Ratnakar
Information Sciences Institute
University of Southern California
Erin Robinson
Foundation for Earth Science
Mimi Tzeng
Data Management Center
Dauphin Island Sea Lab
Sandra Villamizar
Sierra Nevada Research Institute
University of California at Merced
Xuan Yu
Department of Geological Sciences
University of Delaware