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Consider the impact of your FAIRification efforts. For instance:
Cost-benefit ratio: Does the end result outweigh the efforts you are putting in it?
Reuse of data: In what way do potential reusers of your data (e.g., researchers, other users of the data) benefit most from the results of your FAIRification efforts?
Stakeholder benefits: What other stakeholders (e.g., patients, general population, clinicians) would benefit from making your data more FAIR?
Research question: How does the driving research question impact your FAIRification objectives?
Which stakeholders would benefit from making your data more FAIR (patients, general population, clinicians, researchers, etc.)?
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