A key objective of the FAIR Principles is to ensure the reliability and traceability of published data. Users (humans or machines) should also be able to decide whether the data is actually useful in a specific context.
Research data should be prepared in such a way that future research and further processing can naturally replicate or confirm the results. This allows new research and use cases to efficiently build upon previously obtained findings.
Ensure that your data is well-documented to demonstrate your accompanying quality assurance throughout the research process. Metadata should include provenance information, clearly indicating how, why, and by whom the data was created and processed. Assign clear, machine-readable data usage licenses so that others know what types of reuse are permitted. For proper reusability, it is essential that data and metadata adhere to relevant domain-specific standards.