Populate key questions across all episodes

[kmhettne]

Only the "Findable" lesson has questions listed. These might need review and questions need to be added for the other lessons as well.

[bencomp]

Suggested (basic) questions for the interoperable episode:

• How can you describe software packages?
• How can you describe data?
• When are data interoperable?
• When is software interoperable?

I think basic answers to these questions for software can be found in Top 10 FAIR things for research software. These are only suggestions and really depend on our audience as well!

[kmhettne]

As a reminder: Key questions are lines of inquiry which lead the learner to consider what they need to find out in order to get to the learning objective (see comment from Liz in #8 ).

[ragamouf]

Thank @bencomp - I will take a closer look at the top 10 software things.

How can you describe software packages?

Perhaps rephrase: What are the component parts of software packages that are relevant to FAIR data?

How can you describe data?

I think this is or will be covered in the Findable episode (metadata= structured data about data, it describes data in a machine readable way)

When are data interoperable?

Yes! This is a great question!

When is software interoperable?

I wonder if this should rephrase to "When does software support interoperability of research data?" I'd better go and look at the top 10 things first!

[linajandren]

I had a go at creating key questions for the episodes on Findable, Accessible, Interoperable and Reusable (episodes 2-5 I think). I also incorporated questions on licenses into the Reusable questions since there seemed to be agreement on moving the Licenses content into that episode. Here are my suggestions

Findable Questions: What is a persistant identifier or PID, and how do I use them? How should data be described so that researchers can find it? Where can I find data?

Accessible Questions: What is the difference between openly available data and FAIR data? How can access to data be controlled for FAIR data? How can I access FAIR data that isn't openly available

Interoperable Questions: What does interoperability mean? What is a controlled vocabulary, a metadata schema and linked data? How do I describe data so that humans and computers can understand?

Reusable Questions: How can I organise my data so that others can reuse it? How much documentation should I provide so that data can be reused? How can I make clear the conditions for reuse of data? How can I reuse and cite data?

I see @bencomp also had suggestions for interoperable and some of those are more or less the same as the ones I suggested (though perhaps more clearly phrased ) but then some things depend on whether FAIR software is going to be part of the material or not too.

[libcce]

@linajandren if you haven't seen this, your @bencomp included some of your input on https://github.com/LibraryCarpentry/lc-fair-research/pull/44