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Angus Whyte
Digital Curation Centre
University of Edinburgh
Linking service
capabilities to data
stewardship
competences for
professional
development
Skills Framework
The European Open Science Cloud for Research pilot project
Outline of Skills WP
• Defining a stewardship skills framework
(next presentation)
• Consulting on current skills gaps - what we
found so far
• Developing recommendations on training-as-a-
service in EOSC
The European Open Science Cloud for Research pilot project
Overview of WP7 Skills
Skills landscape
and gap analysis
Skills workshops -
how to fill the
competence gaps
Skills framework
linking EOSC
services to
competences
Recommendations
to service
providers and
governance
Scoping training-
as-a-service in
EOSC
Layered model for
delivering training/
information
Partners
KIT
DCC
EGI
LIBER
DANS
The European Open Science Cloud for Research pilot project
Why ‘stewardship’ ?
“An important aspect of the EOSC is… professional data
management and long term data stewardship.”
A Cloud on the 2020 Horizon, EOSC HLEG
“The necessary skills and education in research data
management, data stewardship and data science should
be provided throughout the EU …”
“Researchers need the support of adequately trained
data stewards”
EOSC Declaration, European Commission D-G Research &
Innovation
The European Open Science Cloud for Research pilot project
What is ‘stewardship’ ?
Formalisation of roles and responsibilities to
ensure that data is research objects are
managed in accordance with FAIR principles
and for long-term reuse
D7.1 Skills Landscape Analysis and Competence Framework
The European Open Science Cloud for Research pilot project
Skills landscape
Current provision by a complex network of
inter-connected providers of skills resources
• Infrastructures, clusters
• Institutions, national bodies
• Service providers both European and US
• Audience, topics, modes of delivery
D7.1 Skills Landscape Analysis and Competence Framework
https://eoscpilot.eu/content/d71-skills-landscape-analysis-and-competence-model
The European Open Science Cloud for Research pilot project
Skills gaps
• Science demonstrators reported needs,
challenges in integrating and operating
• Desk research using competence
framework to analyse available materials
• Feedback from workshops with OpenAire,
Stakeholder Forum, DI4R
Sources
The European Open Science Cloud for Research pilot project
Skills gaps
1. Data policy legal and funder
requirements
2. FAIR and OA policy
3. Research strategy and open
research potential
4. Personnel and skills
development
5. Tools and domain standards
6. FAIR metadata for
interoperability
7. Workflows for cloud resource
utilization – description for
reproducibility and portability
8. AAI integration/management
9. Secure storage integration
10. Virtual machines and
containers setup and
deployment
The European Open Science Cloud for Research pilot project
Next steps
Workshops & surveys -
• Research Infrastructures - are we missing
competences?
• Other skill gaps?
• How may EOSC amplify your training?
• What resources have lasting value?
• Can we apply FAIR to training?
A.whyte@ed.ac.uk
Next: IDCC18 Barcelona 19 Feb
The European Open Science Cloud for Research pilot project
Next steps
Workshops & surveys -
• Research Infrastructures - are we missing
competences?
• Other skill gaps?
• How may EOSC amplify your training?
• What resources have lasting value?
• Can we apply FAIR to training?
A.whyte@ed.ac.uk
Next: IDCC18 Barcelona 19 Feb

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Linking service capabilities to data stweardship competences for professional development

  • 1. Angus Whyte Digital Curation Centre University of Edinburgh Linking service capabilities to data stewardship competences for professional development Skills Framework
  • 2. The European Open Science Cloud for Research pilot project Outline of Skills WP • Defining a stewardship skills framework (next presentation) • Consulting on current skills gaps - what we found so far • Developing recommendations on training-as-a- service in EOSC
  • 3. The European Open Science Cloud for Research pilot project Overview of WP7 Skills Skills landscape and gap analysis Skills workshops - how to fill the competence gaps Skills framework linking EOSC services to competences Recommendations to service providers and governance Scoping training- as-a-service in EOSC Layered model for delivering training/ information Partners KIT DCC EGI LIBER DANS
  • 4. The European Open Science Cloud for Research pilot project Why ‘stewardship’ ? “An important aspect of the EOSC is… professional data management and long term data stewardship.” A Cloud on the 2020 Horizon, EOSC HLEG “The necessary skills and education in research data management, data stewardship and data science should be provided throughout the EU …” “Researchers need the support of adequately trained data stewards” EOSC Declaration, European Commission D-G Research & Innovation
  • 5. The European Open Science Cloud for Research pilot project What is ‘stewardship’ ? Formalisation of roles and responsibilities to ensure that data is research objects are managed in accordance with FAIR principles and for long-term reuse D7.1 Skills Landscape Analysis and Competence Framework
  • 6. The European Open Science Cloud for Research pilot project Skills landscape Current provision by a complex network of inter-connected providers of skills resources • Infrastructures, clusters • Institutions, national bodies • Service providers both European and US • Audience, topics, modes of delivery D7.1 Skills Landscape Analysis and Competence Framework https://eoscpilot.eu/content/d71-skills-landscape-analysis-and-competence-model
  • 7. The European Open Science Cloud for Research pilot project Skills gaps • Science demonstrators reported needs, challenges in integrating and operating • Desk research using competence framework to analyse available materials • Feedback from workshops with OpenAire, Stakeholder Forum, DI4R Sources
  • 8. The European Open Science Cloud for Research pilot project Skills gaps 1. Data policy legal and funder requirements 2. FAIR and OA policy 3. Research strategy and open research potential 4. Personnel and skills development 5. Tools and domain standards 6. FAIR metadata for interoperability 7. Workflows for cloud resource utilization – description for reproducibility and portability 8. AAI integration/management 9. Secure storage integration 10. Virtual machines and containers setup and deployment
  • 9. The European Open Science Cloud for Research pilot project Next steps Workshops & surveys - • Research Infrastructures - are we missing competences? • Other skill gaps? • How may EOSC amplify your training? • What resources have lasting value? • Can we apply FAIR to training? A.whyte@ed.ac.uk Next: IDCC18 Barcelona 19 Feb
  • 10. The European Open Science Cloud for Research pilot project Next steps Workshops & surveys - • Research Infrastructures - are we missing competences? • Other skill gaps? • How may EOSC amplify your training? • What resources have lasting value? • Can we apply FAIR to training? A.whyte@ed.ac.uk Next: IDCC18 Barcelona 19 Feb