FAIR Data Management
The FAIR Guiding Principles for scientific data management and stewardship are built upon the use of machine-actionable metadata to find, access, interoperate, combine, and directly reuse data with minimal human intervention.
To improve the quality of reported data and maximize reuse potential, metadata must be sufficient to allow unambiguous interpretation of associated data. For metadata management, Minimum Information standards are used in the Life Sciences.
This project is a collaboration between Wageningen University & Research and UNLOCK, aiming to provide open-source tools that help researchers implement FAIR data practices from the start of their projects.
