Short Description 

With the data now FAIRified you need to decide the conditions for researchers to get access to the data. Furthermore, you will need to decide whether they are allowed to re-share your data, use the data commercially, etc [ru].   

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We can also add something about different types of access (e.g. open access, registered access, controlled access, …) , see https://rdmkit.elixir-europe.org/human_data and https://libguides.library.usyd.edu.au/datapublication/access    

Working Group

Why is this step important 

Accessibility in FAIR implies that one should provide the exact conditions under which the data are accessible. These exact conditions should be clear to machines and humans. By completing this step, access to the data should be well defined.  

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 

This could be interesting: 

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Closed access – A description of your dataset is published, including information such as the dataset title, who created it, and what the data are; however, the dataset is inaccessible and there is no process in place to allow others to apply for access to it. 

Practical Examples from the Community 

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

References & Further

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reading

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

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