about.qmd

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title: "About this website"
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This is the website for the hands-on "R for Reproducibility" workshop taught at
Ohio State University on February 11^th^, 2025.

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### Practical info about the workshop

R is a programming language that is especially powerful for data exploration,
visualization, and statistical analysis. 
During this workshop, participants will learn the basics of R and RStudio,
and how to use R for reproducible data manipulation and visualization.

If you are affiliated with Ohio State University in any capacity,
you can attend this workshop for free by
[registering here](https://library.osu.edu/events/r-for-scientific-reproducibility-virtual-event-0).

There are no prerequisites: this workshop is suitable for complete beginners
in R and in coding in general.

You can attend the workshop either online via Zoom or in-person at co-learning sites
in Columbus or Wooster (information will be sent after registration).

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### Instructors and organizers

This workshop is taught by the organizers of [OSU Code Club](https://osu-codeclub.github.io):

- **Horacio Lopez-Nicora** -- Assistant Professor in the department of [Plant Pathology](https://plantpath.osu.edu)
- **Jelmer Poelstra** -- Bioinformatics & Microscopy Lead at the CFAES [Molecular and
  Cellular Imaging Center (MCIC)](https://mcic.osu.edu)
- **Jessica Cooperstone** -- Associate Professor in the departments of
  [Horticulture & Crop Science](https://hcs.osu.edu), and [Food Science & Technology](https://fst.osu.edu)

The following **helpers** will be assisisting participants:

- Menuka Bhandari
- Fiama Guevara-Guillen
- Melanie Medina-Lopez
- Dhanashree
- Kelsey Badger
- Matthew Thompson
- Elizabeth Campolongo
- Josh Wang
- Net Zhang
- Andrey Kopanev

This workshop is organized by **Kelsey Badger** at the
[OSU Research Commons](https://library.osu.edu/researchcommons),
Matthew Thompson and Elizabeth Campolongo at the
[OSU Imageomics Institute](https://imageomics.osu.edu/),
and the abovementioned instructors,
and is part of
[OSU's 2025 International Love Data Week activities](https://library.osu.edu/events/international-love-data-week-2025).

### Carpentries

**This is a [Carpentries](https://carpentries.org/) workshop.**
The Carpentries project comprises the Software Carpentry, Data Carpentry,
and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers,
and supporters who share a mission to teach foundational computational and
data science skills to researchers.

The material on this website has been adapted from the
[R for Reproducible Scientific Analysis](https://swcarpentry.github.io/r-novice-gapminder/)
Software Carpentry lesson.

[Carpentries website for this workshop and the sister workshop on version control
on Feb 14^th^](https://imageomics.github.io/2025-02-11-osu-online/).