Example of a reproducible workflow to run meta-analysis. The objective of this repo is to use the GLiTRS Multithreat Meta-Analytic Database for Understanding Insect Biodiversity Change and create a dynamic pipeline to analyze the data in a reproducible way.
To that end we will use:
- GLiTRS open data: https://github.com/Joemillard/GlitrsDynametaLocal
- Quarto: A Markdown-like syntaxis to combine text and R code and generate documents.
- Github: A version control system to track changes as we go.
- Zenodo: A platform to ensure stable releases with a permanent DOI.
Content of this repo:
- README.md: The most important file to understand what this repo is about. All your projects need a README.md
workflow.qmd(and .html): Step by step guide on how to be reproducible, open, and a very cool R connoisseur. This is where you should start.demo.qmd: The skeleton of a dynamic analysis. You can clone this skeleton and create yoursOpSci.qmd(and .html): A pesentation with a general introduction to Open Science- LICENCE: Always let people know what they can do with your code. In this case, its cc-by
/docs: The folder where the webpage lives. In this case, the metadata./scripts: A folder with used sripts, including setting the environment, metadata, etc.../data: Where metadata lives./renv: Where the environment used details live.rend.lockcontains the list of packages used.- Other folders contain the libraries and images for the .qmd documents.