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‘A FAIRification objective is the end goal that the owners of a resource [e.g. , dataset, database, protocols, analysis workflow] are looking to achieve with the process of FAIRification. It needs to be based on the research question, the data available in the resource, the expertise of the FAIRification team, available FAIR solutions and the availability of budget and appropriate infrastructure.’ (EJP RD FAIRification Guidelines)
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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?
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