Fair

: Data and metadata should be retrievable via standard protocols.

💡 : Making a paper FAIR is about ensuring that a machine can find, understand, and run your analysis without needing to contact you for help.

Use persistent identifiers (PIDs) for all datasets and software mentioned. : Data and metadata should be retrievable via

Provide rich metadata to ensure search engines can index the content accurately. 2. Automate Reproducibility

List all processing steps used to clean or transform your data. : Data and metadata should be retrievable via

Include a file that defines all column headers and units.

A "FAIR Paper" is a research document designed to be computationally reproducible . To generate one, you should follow these steps: 1. Structure for Machines : Data and metadata should be retrievable via

: Data should have unique identifiers and rich metadata.