Dates: October 2-6, 2023 Location: NCEAS Venue: Santa Barbara, CA Previously called the Reproducible Research Techniques for Synthesis course A five-day immersion in R programming for environmental data science. Researchers will gain experience with essential data science tools and best practices to increase their capacity as collaborators, reproducible coders, and open scientists. This course is taught both in-person and virtually. Materials Link to course book Instructors Name Email Halina Do-Linh dolinh@nceas.

Dates: April 3-7, 2023 Location: NCEAS Venue: Santa Barbara, CA Previously called the Reproducible Research Techniques for Synthesis course A five-day immersion in R programming for environmental data science. Researchers will gain experience with essential data science tools and best practices to increase their capacity as collaborators, reproducible coders, and open scientists. This course is taught both in-person and virtually. Materials Link to course book Instructors Name Email Halina Do-Linh dolinh@nceas.

Dates: November 15-19, 2021 Location: Remote 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 producing transparent, reproducible workflows. This opportunity is for researchers from across career stages and sectors who want to gain fundamental data science skills that will improve their reproducible research techniques, particularly for the purposes of synthesis science. Curriculum at a glance: Enable data reuse through better data management Metadata - what is it and how to write a quality data description Data modeling - tidy data for efficient access and storage Data publishing, citation, and credit Build reproducible scientific workflows Data munging with R tidyverse Working collaboratively - git and GitHub Writing functions in R Building packages for publishing reproducible research Communicate results effectively Literate analysis with RMarkdown Publishing analytical web pages with GitHub pages Data visualization with ggplot and leaflet For more detailed information on how to prepare for the workshop, see preparing for the workshop (below).

Dates: July 8-9, 12-14, 2021 Location: Remote 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 producing transparent, reproducible workflows. This opportunity is for researchers from across career stages and sectors who want to gain fundamental data science skills that will improve their reproducible research techniques, particularly for the purposes of synthesis science.

Dates: February 25-26, March 1-3, 2021 Location: Remote 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 producing transparent, reproducible workflows. This opportunity is for researchers from across career stages and sectors who want to gain fundamental data science skills that will improve their reproducible research techniques, particularly for the purposes of synthesis science.

Dates: November 12 - November 18, 2020 Location: Remote 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 producing transparent, reproducible workflows. This opportunity is for researchers from across career stages and sectors who want to gain fundamental data science skills that will improve their reproducible research techniques, particularly for the purposes of synthesis science.

Dates: February 3 - February 7, 2020 Location: Santa Barbara, CA Venue: NCEAS, 735 State St., Suite 300, UC Santa Barbara 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 producing transparent, reproducible workflows. This opportunity is for researchers from across career stages and sectors who want to gain fundamental data science skills that will improve their reproducible research techniques, particularly for the purposes of synthesis science.

Dates: November 4 - November 8, 2019 Location: Santa Barbara, CA Venue: NCEAS, 735 State St., Suite 300, UC Santa Barbara 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 producing transparent, reproducible workflows. This opportunity is for researchers from across career stages and sectors who want to gain fundamental data science skills that will improve their reproducible research techniques, particularly for the purposes of synthesis science.