FAIR-generics-5-defining-FAIR-objectives-for-projects: Implement link in learning outcomes

[martijnkersloot]

Link to the page of interest
https://elixir-europe-training.github.io/ELIXIR-TrP-FAIR-Converge/units/FAIR-generics/topics/5-defining-FAIR-objectives-for-projects

Describe what you would like to change on the page
The links could not be transferred to the learning outcomes and should be implemented

• Maturity Model (FAIR Evaluator and its metrics (see https://faircookbook.elixir-europe.org/content/recipes/assessing-fairness/fair-assessment-fairevaluator.html), FIP, FAIRplus Dataset Maturity Indicators (https://fairplus.github.io/Data-Maturity/))…
• E.g. Evaluate your existing dataset maturity by assigning a DSM indicator to your project data (https://fairplus.github.io/Data-Maturity/) Then make a set of objectives that will lead your project from its existing to its ideal maturity level to move along the spectrum of data maturity and FAIR. This will also provide a good exercise in awareness of what the next levels are. This will also provide a good exercise in awareness of what the next levels are.
• Use tooling from goal modelling to define better objectives