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Short 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 The How to section should:
be split into easy to follow steps;
Step 1
Step 2
etc.
help the reader to complete the step;
aspire to be readable for everyone, but, depending on the topic, may require specialised knowledge;
be a general, widely applicable approach;
if possible / applicable, add (links to) the solution necessary for onboarding in the Health-RI National Catalogue;
aim to be practical and simple, while keeping in mind: if I would come to this page looking for a solution to this problem, would this How-to actually help me solve this problem;
contain references to solutions such as those provided by FAIR Cookbook, RMDkit, Turing way and FAIR Sharing;
contain custom recipes/best-practices written by/together with experts from the field if necessary.
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.”
Suggestions
Visit our How to contribute page for information on how to get in touch if you have any suggestions about this page.