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Date update: 2024-11-

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Copyright: Pistoia Alliance Licence: CC by 4.0

Purpose of this document: Provide an overview of the FAIR training offering known, if possible with emphasis on the life science domain.

Contributors

Purpose of this document :

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Contents

Methodology

To gain 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 programs relevant that have been developed, we have searched online for FAIR training in life sciences, where we used the following criteria:

• Training The training program should be based on the 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. 

• The training program should be more than a document or article alone. 

• The training program should be current (2022 or later).

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 (either few e-learning or on-site courses)

• Only a few FAIR commercial training offerings

• No Limited examples of certification or organisation that sets the criteria for ‘good’ training.

FAIR training

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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. 

landscape

FAIR Training with certification

The GO FAIR Foundation  to provide a form of FAIR data training with certification. It uses nanopublications to “qualify” trainees. It offers two programs:

• GFF Fellowship Program: duration 1 year (can be extended), 250 hours of time investment, more interaction time with the trainers, but also more self-organized learning (up to facilitator module for either FAIR Implementation Profiles or Metadata for Machine workshops), part of a Fellowship community and collaborative development activities (€ 2500) See https://osf.io/x43g7

• GFF Capacity Building Programme: it provides training modules for implementer, facilitator and trainer level, see price list from €1250 (FAIR Awareness) up to €10’000 (Trainer qualification). See:  https://zenodo.org/records/13277614

FAIR Training overall programs

Below is a table with several examples of FAIR workshops and training we founfound. Please note that some of these training may no longer be offered and costs are only indicative.

FAIR training materials

For update requests of the references above, please contact: giovanni.nisato@pistoiaalliance.org

Copyright: Pistoia Alliance

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