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docs: adding more reproducibility resources (README guide and data ma…
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…nagement workbook)
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njlyon0 committed Sep 10, 2024
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Expand Up @@ -586,13 +586,15 @@ Making sure that your project is reproducible requires a handful of steps before

### Workshops & Courses

- Csik, S. _et al._ UCSB [Master of Environmental Data Science (MEDS) README Guidelines](https://ucsb-meds.github.io/README-guidelines/). **2024**.
- The Carpentries. [Data Analysis and Visualization in R for Ecologists: Before We Start](https://datacarpentry.org/R-ecology-lesson/00-before-we-start.html). **2024**.
- The Carpentries. [Introduction to R for Geospatial Data: Project Management with RStudio](https://datacarpentry.org/r-intro-geospatial/02-project-intro.html). **2024**.
- National Center for Ecological Analysis and Synthesis (NCEAS) Learning Hub. [coreR: FAIR and CARE Principles](https://learning.nceas.ucsb.edu/2023-10-coreR/session_05.html). **2023**.
- National Center for Ecological Analysis and Synthesis (NCEAS) Learning Hub. [coreR: Reproducibility & Provenance](https://learning.nceas.ucsb.edu/2023-10-coreR/session_18.html). **2023**.

### Websites

- Briney, K. [Research Data Management Workbook](https://caltechlibrary.github.io/RDMworkbook/). **2024**.
- Google. [Style Guide](http://adv-r.had.co.nz/Style.html). **2024**.
- LTER Scientific Computing Team. [Team Coding: 5 Essentials](https://lter.github.io/scicomp/wg_team-coding.html). **2024**.
- Lowndes, J.S. _et al._ [Documenting Things: Openly for Future Us](https://openscapes.github.io/documenting-things/#/title-slide). **2023**. _posit::conf(2023)_
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