FAIRification

[elinkronander]

Add links to "10 simple steps how to make your code FAIR" and similar resources

[elinkronander]

I think this should be a new topic page under an expandable topic group named
FAIR

• the FAIR principles (existing page)
  • add something about that FAIR principles were originally for data but is now applied to all kinds of research outputs
• FAIRification (new page that this issue was originally about)
  • Describe the concept of FAIR not being binary, and that one can make existing outputs more FAIR or adopt a FAIRer way of working.
• FAIR by design (new page)
  • Describe the concept of thinking ahead of time to make things FAIR by design. Setting up automated systems that capture the technical metadata for example.

[elinkronander]

Check the presentation by Sara for Meet a DS for inspiration, maybe?

[YvonneKallberg]

Found my notes with key-points, I think they are from Sara's presentation:

What does FAIR mean to you?

• write a DMP
• choose file formats wisely
• use versioning strategies
• organise your data / clear structure
• appropriate file naming
• document everything
• do reproducible research

This is related to issue #280 , isn't it?

[elinkronander]

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