Date update: 2024-11-08
Copyright: Pistoia Alliance Licence: CC by 4.0
Purpose of this document
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: Provide an overview of the FAIR training offering known, if possible with emphasis on the life science domain.
Contributors
Name | Organisation | Contact |
|---|---|---|
Erik Schultes | Go FAIR Foundation | |
Wouter Franke | The Hyve | |
Chris Day | Perdl Limited | |
Philippe Rocca-Serra | AstraZeneca | |
Nick Juty | Manchester University | |
Despoina Sousoni | Elixir | |
Giovanni Nisato | Pistoia Alliance |
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| Table of Contents | ||
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FAIR training landscape
Methodology
To gain an overview of the FAIR training programs relevant that have been developed, we have searched online for FAIR training in life sciences, where we used the following criteria:
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Further Pistoia Alliance member organisations, members of the FAIR community of Experts were contacted to review, complement and provide additional information about know FAIR training programs.
Observations on the FAIR training program landscape
The offering FAIR training programs is relatively lmited
Next to FAIR training programs, we can find numerous training programs for technical skills and knowledge often used as good practice in FAIR: semantic web, ontology modeling, data infrastructures, data management skills etc.
Most training are in the context of:
Universities - Only a few FAIR commercial training offerings
Internal to an organization (e.g. pharma)
No formal curriculum in general
Many one-off workshops
Very few repeated and structured training (few e-learning or on-site courses)
Limited examples of certification or organisation that sets the criteria for ‘good’ training.
FAIR training landscape
FAIR Training with certification
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Organisation | Short description | Public /private enrolment | Cost estimate | Link to the training |
|---|---|---|---|---|
DANS | Academic, part of Essentials 4 Data Support | public | free |
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FAIR training materials.
Organisation | Short description | Link |
|---|---|---|
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