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https://github.com/inbo/rl-flanders-checklist

Red lists of Flanders, Belgium
https://github.com/inbo/rl-flanders-checklist

dataset gbif open-data oscibio r rstats

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Red lists of Flanders, Belgium

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README

        

# Red lists of Flanders, Belgium

## Rationale

This repository contains the functionality to standardize two checklists - the _Validated red lists of Flanders, Belgium_ and the _Non-validated red lists of Flanders, Belgium_ - to [Darwin Core checklists](https://www.gbif.org/dataset-classes) that can be harvested by [GBIF](http://www.gbif.org). The repository also contains some miscellaneous scripts.

## Workflow

The source data is an Access database managed by [Dirk Maes](https://orcid.org/0000-0002-7947-3788) containing **all published red lists for Flanders** (see included [validated](https://inbo.github.io/rl-flanders-checklist/dwc_mapping_validated.html#35_preview_data) and [non-validated](https://inbo.github.io/rl-flanders-checklist/dwc_mapping_nonvalidated.html#35_preview_data) red lists). A taxon can appear on multiple red lists. The data are split into two datasets, depending on the type of red list:

* **Validated red lists**: Contains information from red lists that are considered validated, i.e. which used quantitative criteria and a representative sample of occurrences across all ecological regions in Flanders for red list assessment. The database also contains life-history traits for these (`biome`, `biotope`, `cuddliness`, `lifespan`, `mobility`, `nutrient level`, `spine`) which have been included in the description extension.

[source data](https://github.com/inbo/rl-flanders-checklist/blob/master/data/raw) (exported from Access) → Darwin Core [mapping script](https://inbo.github.io/rl-flanders-checklist/dwc_mapping_validated.html) → generated [Darwin Core files](https://github.com/inbo/rl-flanders-checklist/blob/master/data/processed/validated)

* **Non-validated red lists**: Contains information from red lists that are considered non-validated, i.e. which did not use the above criteria.

[source data](https://github.com/inbo/rl-flanders-checklist/blob/master/data/raw) (exported from Access, same file) → Darwin Core [mapping script](https://inbo.github.io/rl-flanders-checklist/dwc_mapping_nonvalidated.html) → generated [Darwin Core files](https://github.com/inbo/rl-flanders-checklist/blob/master/data/processed/nonvalidated)

## Published datasets

* [Validated red lists on the IPT](https://ipt.inbo.be/resource?r=rl-flanders-validated-checklist)
* [Validated red lists on GBIF](https://doi.org/10.15468/8tk3tk)

---

* [Non-validated red list on the IPT](https://ipt.inbo.be/resource?r=rl-flanders-nonvalidated-checklist)
* [Non-validated red lists on GBIF](https://doi.org/10.15468/54nwog)

## Repo structure

The repository structure is based on [Cookiecutter Data Science](http://drivendata.github.io/cookiecutter-data-science/) and the [Checklist recipe](https://github.com/trias-project/checklist-recipe). Files and directories indicated with `GENERATED` should not be edited manually.

```
├── README.md : Description of this repository
├── LICENSE : Repository license
├── rl-flanders-checklist.Rproj : RStudio project file
├── .gitignore : Files and directories to be ignored by git

├── data
│ ├── raw : Source data, input for mapping scripts 1 and 2
│ └── processed
│ ├── validated : Darwin Core output of mapping script 1 GENERATED
│ └── nonvalidated : Darwin Core output of mapping script 2 GENERATED

├── docs : Repository website GENERATED

└── src
├── dwc_mapping_validated.Rmd : Darwin Core mapping script 1 (for validated red lists)
├── dwc_mapping_nonvalidated.Rmd : Darwin Core mapping script 2 (for non-validated red lists)
├── _site.yml : Settings to build website in docs/
└── index.Rmd : Template for website homepage
```

## Installation

1. Clone this repository to your computer
2. Open the RStudio project file
3. Open the `dwc_mapping_validated.Rmd` or `dwc_mapping_nonvalidated.Rmd` [R Markdown file](https://rmarkdown.rstudio.com/) 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/`

## Contributors

[List of contributors](https://github.com/inbo/rl-flanders-checklist/contributors)

## License

[MIT License](https://github.com/inbo/rl-flanders-checklist/blob/master/LICENSE)