: Data should have unique identifiers and rich metadata.
List all processing steps used to clean or transform your data.
: Data should be well-documented with clear usage licenses. Generating a "FAIR Paper"
: Data should use common languages and vocabularies.
Use persistent identifiers (PIDs) for all datasets and software mentioned.
💡 : 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
: Data should have unique identifiers and rich metadata.
List all processing steps used to clean or transform your data. : Data should have unique identifiers and rich metadata
: Data should be well-documented with clear usage licenses. Generating a "FAIR Paper" : Data should have unique identifiers and rich metadata
: Data should use common languages and vocabularies. : Data should have unique identifiers and rich metadata
Use persistent identifiers (PIDs) for all datasets and software mentioned.
💡 : 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