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FAIR is a collection of guiding principles to make data Findable, Accessible, Interoperable, and Re-usable. This module provides a number of lessons to ensure that a researcher's data is properly managed and published to ensure it enables reproducible research.
It is based on the lesson template used in [Neurohackweek]({{ site.nhw_site }}), [Data Carpentry]({{ site.dc_site }}) and [Software Carpentry]({{ site.swc_site }}) workshops.