Date: 2024-11-07
Contributors
Name | Organisation | Contact |
|---|---|---|
Wouter Franke | The Hyve | |
Erik Schultes | Go FAIR Foundation | |
Chris Day | Perdl | |
Philippe Rocca-Serra | AstraZeneca | |
Nick Juty | Manchester University | |
Despoina Sousoni | Elixir | |
Giovanni Nisato | Pistoia Alliance |
Purpose of this document :
Provide an overview of the FAIR training offering known, if possible with emphasis on the life science domain.
FAIR training landscape
For an overview, we have looked at FAIR training in life sciences, where we used the following criteria:
Training should be based on FAIR principles
A document is not yet a training
Still relevant (if the latest update is 2021, we’ll exclude it)
In the current training landscape, we can find:
Mostly limited offers for FAIR training
Most training are in the context of:
Universities
Internal to an organization (e.g. pharma)
No formal curriculum in general
Many one-off workshops
Very few repeated and structured training (either e-learning or on-site)
Only a few FAIR commercial training offerings
No certification or organisation that sets the criteria for ‘good’ training
Next to FAIR training, you can find training for technical skills and knowledge often used as good practice in FAIR: semantic web, ontology modelling, data infrastructures, data management skills etc.
Below is a table with several examples of FAIR workshops and training we foun. Please note that some of these training may no longer be offered.
Organisation | Type | Public /private enrolment | Cost estimate | Link to the training |
|---|---|---|---|---|
DANS | Academic, part of Essentials 4 Data Support | public | free | |
For update requests of the references above, please contact: giovanni.nisato@pistoiaalliance.org