resources.qmd

# Resources for continued learning {.unnumbered}

The following is a non-exhaustive list of additional resources you can use for continued learning on your open science journey. 

## Open Science Websites

* [NCEAS Open Science for Synthesis workshop](https://nceas.github.io/oss-2017/lessons.html){target="_blank"}
* [NCEAS Reproducible Research Techniques](https://learning.nceas.ucsb.edu/2020-02-RRCourse/){target="_blank"}
* [Open Science Foundation open science workshop](https://osf.io/k75r9/){target="_blank"}
* [Openscapes](https://www.openscapes.org/){target="_blank"}
* [Openscapes Champions Lesson Series](https://openscapes.github.io/series/){target="_blank"}
* [Supercharge your research: A 10 week plan for open data science](https://www.nature.com/articles/d41586-019-03335-4){target="_blank"}
* [ROpenSci guidance on creating a Code of Conduct](https://ropensci.org/blog/2016/12/21/commcallv12-review-coc/){target="_blank"}
* [NOAA Reproducible Reporting with R](https://noaa-iea.github.io/r3-train/index.html){target="_blank"}
* [PeerJ collection on practical data science](https://peerj.com/collections/50-practicaldatascistats){target="_blank"}

## Data Management Tools

* [Environmental Data Initiative Data Management Resources](https://environmentaldatainitiative.org/dm-resources/){target="_blank"}
* [University of California DMPTool](https://dmptool.org/){target="_blank"}
* [US Geological Survey resources for Metadata Creation](https://www.usgs.gov/products/data-and-tools/data-management/metadata-creation){target="_blank"}
* [ELIXIR and others Data Stewardship Wizard](https://ds-wizard.org/){target="_blank"}
* [TBEP Data Management SOP](https://tbep-tech.github.io/data-management-sop){target="_blank"}

## TBEP R Trainings

* [Peconic Estuary Program R training](https://tbep-tech.github.io/pep-r-training){target="_blank"}, [recording](https://drive.google.com/file/d/1ZjVHFrVpw2uTKZw-BmD29umdbl6viutM/view?usp=sharing){target="_blank"}
* [TBEP June 2020 R training](https://tbep-tech.github.io/tbep-r-training/){target="_blank"}, [recordings](https://www.youtube.com/watch?v=_RI4XMRWeV0&list=PLfJ6-D-exF9RM5TPtT4T0nxieqpr_R4pJ){target="_blank"}
* [Writing functions in R](https://tbep-tech.github.io/tbep-r-training/functions.html){target="_blank"}
* [R package development workflow](https://tbep-tech.github.io/tbep-r-training/packages.html){target="_blank"}
* [A soft introduction to Shiny](https://tbep-tech.github.io/tbep-r-training/shiny.html){target="_blank"}

## R Lessons & Tutorials

* [Software Carpentry: R for Reproducible Scientific Analysis](http://data-lessons.github.io/gapminder-R/){target="_blank"}
* [Data Carpentry: Geospatial Workshop](https://datacarpentry.org/geospatial-workshop/){target="_blank"}
* [Data Carpentry: R for Data Analysis and Visualization of Ecological Data](http://www.datacarpentry.org/R-ecology-lesson/){target="_blank"}
* [Data Carpentry: Data Organization in Spreadsheets](http://www.datacarpentry.org/spreadsheet-ecology-lesson/){target="_blank"}
* [R for Water Resources Data Science](https://www.r4wrds.com/){target="_blank"}
* [RStudio Webinars, many topics](https://www.rstudio.com/resources/webinars/){target="_blank"}
* [R For Cats: Basic introduction site, with cats!](http://rforcats.net/){target="_blank"}
* [Topical cheatsheets from RStudio, also viewed from the help menu](http://www.rstudio.com/resources/cheatsheets/){target="_blank"}
* [Cheatsheet from CRAN of base R functions](http://cran.r-project.org/doc/contrib/Short-refcard.pdf){target="_blank"} 
* [Totally awesome R-related artwork by Allison Horst](https://github.com/allisonhorst/stats-illustrations){target="_blank"}
* [Color reference PDF with text names](http://www.stat.columbia.edu/~tzheng/files/Rcolor.pdf){target="_blank"}, [Color cheatsheet PDF from NCEAS](https://www.nceas.ucsb.edu/sites/default/files/2020-04/colorPaletteCheatsheet.pdf){target="_blank"}

## R eBooks/Courses

* [Jenny Bryan's Stat545.com](http://stat545.com/){target="_blank"}
* [Garrett Grolemund and Hadley Wickham's R For Data Science](http://r4ds.had.co.nz/){target="_blank"}
* [Chester Ismay and Albert Y. Kim's Modern DiveR](https://ismayc.github.io/moderndiver-book/){target="_blank"}
* [Julia Silge and David Robinson Text Mining with R](http://tidytextmining.com/){target="_blank"}
* [Hadley Wickham's Advanced R](http://adv-r.had.co.nz/){target="_blank"}
* [Hadley Wickham's R for Data Science](https://r4ds.had.co.nz){target="_blank"}
* [Yihui Xie R Markdown: The Definitive Guide](https://bookdown.org/yihui/rmarkdown/){target="_blank"}
* [Winston Chang R Graphics Cookbook](http://www.cookbook-r.com/){target="_blank"}
* [Wegman et al. Remote Sensing and GIS for Ecologists: Using Open Source Software](http://book.ecosens.org/RSEbook/){target="_blank"}
* [Lovelace et al. Geocomputation with R](https://geocompr.robinlovelace.net/){target="_blank"}
* [Edszer Pebesma and Roger Bivand Spatial Data Science](https://keen-swartz-3146c4.netlify.app/index.html){target="_blank"}

## Git/Github

* [Jenny Bryan's Happy Git and Github for the useR](http://happygitwithr.com/){target="_blank"}
* [Git and GitHub for the Casual User](https://masalmon.eu/2023/01/12/git-github-casual/){target="_blank"}
* [Coding Club Intro to Github](https://ourcodingclub.github.io/2017/02/27/git.html){target="_blank"}