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description 

In this step in the post-FAIRification phase check whether you managed to reach the FAIRification goals you set initially [Generic]. If your goals have not yet been met, you may need to revisit some of the earlier steps, or, if that is unfeasible, you may need to adjust your goals. Furthermore, you can check the FAIRness of your (meta)data using FAIRness assessment tooling. If initially a pre-FAIR assessment was also done (step 5), you can compare the results from the pre- and post-FAIRification assessment. Also, such tooling can help track the progress towards FAIRness of your data [FAIRopoly]. 

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Q: is there movement towards journals demanding some form of formal statistics when claims towards FAIRness of data are made? If so, that should be added here, since you’d need to objectively assess FAIRness for publications.  

Expertise requirements for this step 

This section could describe the expertise required. Perhaps the Build Your Team step could then be an aggregation of all the “Expertise requirements for this step” steps that someone needs to fulfil his/her FAIRification goals.   

How to 

Using FIPs to assess FAIRness?

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This phase is usually run in short sprints of 3-month. 

Practical Examples from the Community 

This section should show the step applied in a real project. Links to demonstrator projects. 

Further reading & References 

[FAIRopoly] https://www.ejprarediseases.org/fairopoly/  

[Generic] https://direct.mit.edu/dint/article/2/1-2/56/9988/A-Generic-Workflow-for-the-Data-FAIRification

Authors / Contributors 

Experts who contributed to this step and whom you can contact for further information 

Expertise requirements for this step 

Describes the expertise that may be necessary for this step. Should be based on the expertise described in the Metroline: Build the team step.

Practical examples from the community 

Examples of how this step is applied in a project (link to demonstrator projects).  

Training

Add links to training resources relevant for this step. Since the training aspect is still under development, currently many steps have “Relevant training will be added in the future if available.”