EVENTS

Arctic Data Center Training (February 2019)

Dates: February 11 - February 15, 2019
Location: Santa Barbara, CA
Venue: NCEAS, 735 State St., Suite 300, UC Santa Barbara The Arctic Data Center provides training in data science and data management, as these are critical skills for the stewardship of the data, software, and other research products that are preserved in the Arctic Data Center. A goal of the Arctic Data Center is to advance data archiving and promote reproducible science and data reuse. This 5-day workshop will provide researchers with an overview of best data management practices, data science tools and concrete steps and methods for more easily documenting and uploading their data to the Arctic Data Center.

Overview:

Workshop topics will include:

  • Arctic Data Center and NSF Standards and Policies
  • Data Management Plans
  • Effective Data Management for Data Preservation
  • Publishing Data at the Arctic Data Center
  • Data and Metadata Quality
  • Provenance for Data and Software

For more detailed information on how to prepare for the workshop, see preparing for the workshop (below).

Materials

Organizers

Name Email
Matthew Jones jones@nceas.ucsb.edu
Amber Budden budden@nceas.ucsb.edu
Jeanette Clark jclark@nceas.ucsb.edu

Acknowledgements

Work on this package was supported by:

  • NSF award #1546024 to M. B. Jones, S. Baker-Yeboah, A. Budden, J. Dozier, and M. Schildhauer

Additional support was provided for working group collaboration by the National Center for Ecological Analysis and Synthesis, a Center funded by the University of California, Santa Barbara, and the State of California.

Preparing for the Workshop

Required software

We will primarily be using a web browser, R, RStudio, and git. Please be sure these are all installed on your laptop, as follows:

  • R: We will use R version 3.5.2, which you can download and install from CRAN

  • RStudio: To download RStudio, visit RStudio’s download page. If you don’t know how up to date your version of RStudio is, please download an updated copy and install it

  • R packages: Please be sure you have installed or updated the following packages:

    • devtools
    • dplyr
    • DT
    • ggplot2
    • leaflet
    • tidyr

    You can install these packages quickly by running the following two code snippets:

    packages <- c("dataone", "datapack", "devtools", "dplyr", "EML", "ggplot2", "readxl", "tidyr")

    for (package in packages) {
  if (!(package %in% installed.packages())) {
    install.packages(package)
  }
}

  • git: Download git and install it on your system.

  • GitHub: We will be using GitHub so you will need create (or remember your existing) GitHub login

Refresh your skills

This workshop assumes a base level of experience using R for scientific and statistical analyses. However, we realize that not everyone will be at the same place in terms of familiarity with the tools we’ll be using. If you’d like to brush up on your R skills prior to the workshop, check out this list of resources we like:

If you’re a fan of cheat sheets, RStudio provides some fantastic ones on their Cheat Sheets page. Please make sure to print ahead of time if you prefer hard copies. In particular, check out:

  • Base R
  • Data Import
  • Data Transformation with dplyr
  • R Markdown
  • Data Visualization with ggplot2
  • R Markdown Reference Guide
  • The leaflet package

Participants

Name Email Affiliation
Adam Schneider amschne@umich.edu University of Michigan
Aleksey Sheshukov ashesh@ksu.edu Kansas State University
Alexis C Garretson alexis@garretson.net Brigham Young University
Ali Paulson alison.paulson@msstate.edu Mississippi State
Anastasija Mensikova mensikova.anastasija@gmail.com George Washington University
Anna Nesterovich annanest@iastate.edu Iowa State
Caixia Wang cwang12@alaska.edu University of Alaska - Anchorage
Christina Minions cminions@whrc.org Woods Hole Research Center
Desheng Liu liu.738@osu.edu Ohio State University
Helene Angot helene.angot@colorado.edu University of Colorado - Boulder
Ian Baxter itbaxter@ucsb.edu UC Santa Barbara
Kelly Kapsar kelly.kapsar@gmail.com Michigan State
Komi Messan Komi.S.Messan@erdc.dren.mil US Army Corps of Engineers
Olaf Kuhlke okuhlke@d.umn.edu University of Minnesota - Duluth
Rebecca Finger-Higgens rebecca.finger@gmail.com Dartmouth College
Sanghoon Kang sanghoon_kang@baylor.edu Baylor University
Sara Pedro sara.pedro@uconn.edu University of Connecticut
Susan L. Howard showard@esr.org Earth and Space Research
Yiyi Huang yiyi063@email.arizona.edu University of Arizona