interoperable-data-2-M4M-workshop: Define proper learning outcomes

[martijnkersloot]

Link to the page of interest
https://elixir-europe-training.github.io/ELIXIR-TrP-FAIR-Converge/units/interoperable-data/topics/2-M4M-workshop

Describe what you would like to change on the page
The learning outcomes should be defined for this plan

General comment(s)

• M4M Workshops have two objectives:
  • First, most M4M Workshops focus on a simple but extensible conceptual model and RDF schema that solve clearly identified FAIR-related metadata goals for that domain. Based on numerous considerations, the metadata expert will recommend if a new schema should be created or if an existing schema can be efficiently repurposed. In most cases, it is also possible to employ metadata modeling tools to build reusable metadata templates following that schema providing user-friendly interfaces and input forms. This will later allow domain experts who may not have technical skills, to nonetheless create metadata instances without expert supervision. The second objective of a M4M Workshop is the deposition of the defined metadata schema/template into a FAIR repository, where they can be easily found and reused by other communities that often have similar metadata requirements. The overall goal of a M4M Workshop is a public Declaration by the domain community to the use and reuse of particular FAIR metadata schema/templates. This declaration could take the form of a FAIR Implementation Profile or a statement in a Data Management Plan. M4M Workshops draw on the deep knowledge collected in many scientific communities but also ensure coordination with the metadata components chosen in other M4M workshops. Collectively, the M4M workshop series result in recommendations about metadata and an Open repository of machine-ready, easy to use and interoperable FAIR metadata templates and components. Anyone can access this ’sea’ of community specific metadata templates/components, re-use them as they see fit, and deploy them using metadata editors and other data capture tools. It is hoped that the M4M workshop can allow researchers to make routine use of machine-actionable FAIR metadata in a broad range of fields.