The document discusses training needs and opportunities for the European Open Science Cloud (EOSC). It summarizes discussions from the 2019 EOSC Symposium on skills development and training infrastructure for EOSC. Key skills identified include research data management, FAIR data principles, and open science awareness. The document advocates for a centralized training catalogue and certification mechanisms for trainers as part of a sustainable EOSC training infrastructure. Balancing training for different stakeholder groups, as well as aligning EOSC skills with national policies, are also addressed.

1. Key needs and areas of improvement in training
building on existing work – EOSC symposium 2019
Pedro Principe
Workshop on Training in EOSC
University of Minho, Portugal. OpenAIRE Support Officer.
26 February 2020, The Hague, The Netherlands

2. EOSC Symposium 2019
two sessions on skills & training
Skills development for EOSC
COMPETENCES
2
Training infrastructure for EOSC
DELIVERY

3. EOSC Symposium 2019
two sessions on skills & training
Skills development for EOSC
COMPETENCES
 Focused on skills and competencies
considered necessary to both
navigate and work with EOSC, and to
"do" Open Science;
 How these could be combined with
existing approaches to training for
Open Science;
 Key elements, views and use cases
from EUA, DCC (EOSC-Pilot), LIBER,
EOSC-Hub, OpenAIRE.
3 Workshop on Training in EOSC, February 2020
Training infrastructure for EOSC
DELIVERY
 Focused on the infrastructure (include not
only technology, but also human networks
of trainers and stakeholders);
 Highlighted examples of what a future
EOSC training catalogue might comprise:
platforms, standards and training offers.
 Examples and best practices from ELIXIR
(TESS), FAIRsharing, FOSTER, OpenAIRE
and FAIRsFAIR.
 Expectations from the EOSC Working
Group on Training & Skills.

4. Skills for whom?
Researchers, researchers, researchers!
but also targeting…
service providers,
research support staff,
policy makers
4 Workshop on Training in EOSC, February 2020

5. Essential skills for EOSC?
RDM, FAIR data, Data Management planning…
but also…
Openness and sharing culture,
Cloud service access & management,
awareness on OA and OS
5 Workshop on Training in EOSC, February 2020

6. Some significant remarks presented
#EOSCsymposium2019
From EOSCPilot/FAIR4S
 Remember: many routes to acquire skills
 Training-as-a-service
 Self-paced learning
 Mentorship
 Many other models
 EOSC should adopt FAIR4S and use it to
guide its actions on skills-related issues
 EOSC should monitor skills development
and provision and act to fill the gaps
 Skills exchange between infrastructures
and with institutions should be
encouraged.
6 Workshop on Training in EOSC, February 2020
From OpenAIRE, LIBER, EOSC-HUB
 Ensure a multi-stakeholder approach and making
use of different training strategies.
 “The knock-on effect of the advance of Open
Science is a serious skills gap…” (Liber skills WG).
 Digital skills main areas for Open Science:
 FAIR Data
 Research Infrastructures & the EOSC
 Metrics & Rewards
 Open Science Skills
 Research Integrity
 Citizen Science
 Concrete training to become an EOSC provider

7. Key components
in an EOSC training infrastructure
Catalogue/repository of training materials, courses, services & providers
 curated modules relevant for EOSC users and providers;
 federated portal, registry, search engine, catalogue courses providers;
 rich metadata, categorization of materials, profiles of audience;
 room for SMEs as providers, courses for trainers and trainees;
 MOOC platform, Best practices catalogue, Forum, feedback on training.
Workshop on Training in EOSC, February 20207

8. Some significant training initiatives inputs
#EOSCsymposium2019
From Elixir (Tess)
 one-stop-shop for training events and
training materials (23 NODES)
 Establish sustainable training
infrastructure supported and
adopted by all ELIXIR Nodes
 Challenge: Make existing courses and
materials findable
From terms4FAIRskills
 Community-driven terminology… for the
competencies, skills and knowledge
necessary to make data FAIR and to keep
it FAIR
 Not a catalog but a terminology that
could work across communities
8 Workshop on Training in EOSC, February 2020
From FOSTER
 Foster Open Science - Much more than a project…
a training support network
 Main outputs: OS Training (handbook), OS
Toolkit, Learning paths (specializations), Portal
(Resources & directory)
 What the EOSC catalogue could include: the
FOSTER train de trainers approach
From FAIRsFAIR
 Towards a FAIRsFAIR competence center
 a networking and communication platform
(categorized by stakeholder, discipline, skill
level, competence area)
 Managed in a knowledge base integrated with
the platform, Provides help desk service.

9. Workshop on Training in EOSC, February 20209

10. Key needs and areas of improvement in training
THE TRAINING CATALOGUE IS INSTRUMENTAL
EOSC WG >> Provide a framework for a sustainable training
infrastructure to support EOSC in all its phases and ensure its uptake
CERTIFICATION MECHANISMS FOR TRAINERS (or trainees)
EOSC WG >> Work on building competence (skills)
and capabilities (training) for EOSC
Balance: target trainers and support professional groups vs researchers;
OS/FAIR/RDM digital skill sets for EOSC
EOSC in the wider European agenda vs EOSC in national policies/strategies

11. pedroprincipe@sdum.uminho.pt | @pedroprincipe
info@openaire.eu | @OpenAIRE_eu