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Determine goal for FAIRification in terms of desired usability of data that isn’t currently possible
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DEFINE FAIRIfiCATION

GOAL

Examine in detail a dataset's current and expected data requirements as well as available resources and expertise
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PROJECT

EXAMINATION

Iteratively design and implement FAIRification tasks to reach the original goals
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INTERACTIVE FAIRIfiCATION

CYCLES

POST FAIRIfiCATION

REVIEW

DEFINE FAIRIFICATION

GOAL

PROJECT

EXAMINATION

INTERACTIVE FAIRIfiCATION

CYCLES

POST FAIRIFICATION

REVIEW

Post-FAIRification review

In this final phase, the cumulative outputs of all the FAIRification processes should be compared to the initial project goals, to assess the overall success of the process. This should include another assessment of your dataset with the FAIR DSM tool.

This review phase should include feedback from one or more reviewers not directly involved in the practical implementation work but familiar with the overall data and scientific goals of the project. It may show that the desired degree of FAIRness has not yet been achieved, in which case a renewed cycle of assessment and FAIRification may be considered. If your goals have been achieved, then congratulations on your progress!

Remember – FAIR is a journey!