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Template repository for standardizing thematic species checklist data to Darwin Core using R

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Checklist recipe

👩🏻‍🍳 This is a template repository for standardizing thematic species checklist data to Darwin Core using R. As a result, the rest of the README is a template as well. To use this repository for your own checklist data, read the recipe. Happy cooking!

Rationale

This repository contains the functionality to standardize the data of to a Darwin Core Archive that can be harvested by GBIF.

Workflow

source data → Darwin Core mapping script → generated Darwin Core files

Published dataset

Repo structure

The repository structure is based on Cookiecutter Data Science and the Checklist recipe. Files and directories indicated with GENERATED should not be edited manually.

├── README.md              : Description of this repository
├── LICENSE                : Repository license
├── checklist-recipe.Rproj : RStudio project file
├── .gitignore             : Files and directories to be ignored by git
│
├── src
│   ├── dwc_mapping.Rmd    : Darwin Core mapping script
│   ├── _site.yml          : Settings to build website in docs/
│   └── index.Rmd          : Template for website homepage
│
├── docs                   : Repository website GENERATED
│
└── data
    ├── raw                : Source data, input for mapping script
    └── processed          : Darwin Core output of mapping script GENERATED

Installation

  1. Click on Use this template to create a new repository on your account
  2. Open the RStudio project file
  3. Open the dwc_mapping.Rmd R Markdown file in RStudio
  4. Install any required packages
  5. Click Run > Run All to generate the processed data
  6. Alternatively, click Build > Build website to generate the processed data and build the website in docs/ (advanced)

Contributors

List of contributors

License

MIT License for the code and documentation in this repository. The included data is released under another license.

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Template repository for standardizing thematic species checklist data to Darwin Core using R

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