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Below you find the most important steps that are part of most FAIRification processes. We identified these steps by mapping and comparing a number of regularly used FAIR workflows (read more on this mapping process). Each step links to a description of the step and to recipes, guidelines, tools and resources to help you perform that step.
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🏗️ Build your team
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👟 Train your team
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To be able to onboard datasets into the Health-RI infrastructure, requirements will need to be defined. They will include requirements regarding the FAIRness of the dataset. To help data owners making their data FAIR for the onboarding process, we need to define a FAIRification workflow they can follow.
Instead of creating a new FAIRification workflow, we have mapped existing FAIR workflows and processes already in use, to identify the important and common steps. Below you find the outcome of this excercise and you can read the details on this mapping process in this poster presentation.
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Currently we are /wiki/spaces/FSD/pages/108101782 within Health-RI and what they actually mean. When we have decided on the steps we will complete the details for each of them on how to perform them (see this example page).
We are also developing FAIR services /wiki/spaces/FSD/pages/33816783, to incorporate FAIR into projects from the start.
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Example of a possible FAIRification steps selection