Fair -

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

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

Provide rich metadata to ensure search engines can index the content accurately. 2. Automate Reproducibility 💡 : Making a paper FAIR is about

: Data should use common languages and vocabularies.

: Data should have unique identifiers and rich metadata. Structure for Machines Provide rich metadata to ensure

List all processing steps used to clean or transform your data.

Store your code in a searchable resource like GitHub or Zenodo. 3. Document Everything : Data should have unique identifiers and rich metadata

: Data should be well-documented with clear usage licenses. Generating a "FAIR Paper"