This repository hosts a Guide on machine-readable data formats for biodiversity science. Alongside the Guide, the GitHub repository also includes a glossary defining key terms used in the Guide, such as data format and data standard, and a quick reference list of open data formats divided according to data type (tabular, geographic, etc.).
The Guide on machine-readable data formats is complemented by a Jupyter notebook with examples. The notebook and related data are in a separate folder in this repository. It is recommended to go through the examples while reading the Guide, as the cases selected give a clear illustration of the statements made.
If you wish to improve this repository or you have comments and suggestions, you are welcome to create an issue in GitHub or make a Pull request.
Research for this project was supported by the German Research Foundation (DFG) under grant number 528674292.