FAIR Principles #

The FAIR principles are internationally recognized standards for data management that ensure research data are organized and shared in a way that maximizes their potential for reuse. All data generated at ICArEHB must comply with these principles:

Findable:

• Data should be easily found by both humans and machines. This requires detailed metadata, unique identifiers (e.g., DOIs), and inclusion in searchable repositories.Use clear and consistent file naming conventions.
• Ensure metadata are complete and standardized.

Accessible:

• Data should be accessible and retrievable by authorized users, with clear guidelines on how to access them.
• Deposit data in trusted open-access repositories.
• Clearly define any access restrictions due to privacy or proprietary concerns.

Interoperable:

• Data should be formatted and structured in ways that allow them to be integrated with other datasets and used across different platforms.
• Use open, standardized formats and protocols.
• Ensure data are described using standard vocabularies or ontologies.

Reusable:

• Data should be well-documented and licensed so that they can be reused in future research.Include detailed documentation (metadata, protocols, workflows).
• Use appropriate licenses, such as CC-BY or CC0, to clarify the conditions for reuse.