A presentation from Jisc's Tech 2 Tech - European Open Science Cloud (EOSC) event. By Hugh Shanahan, Royal Holloway University.

1. EOSC – University perspectives
Hugh Shanahan
School of Engineering, Physical and Mathematical Sciences
@hughshanahan
Hugh.Shanahan@rhul.ac.uk

2. Researcher profile – long tail
Focussing on researchers who
Work in smaller labs
Do moderate amount of computing
Generate moderate amount of data
Work with University support
EOSC could be enormously useful to them
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3. Technical specifications EOSC
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4. EOSC = AAI + Metadata + Clouds
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5. PaaS, Web-services remain important …
IaaS (VMs) remains a workhorse
10-15 years ago wholesale switch to AWS away from University
services
Getting started on AWS was straightforward (no 1,000 word application
process)
Personal bias – Notebooks (Jupyter) are increasingly the way
computation is shared.
EGI Notebook service
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6. AAI
Low impediment to
getting started
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7. Metadata
Little awareness of FAIR
principles
FAIRsFAIR survey in
European Higher Education
Metadata management and
discovery in place makes
advantages clearer.
Ease implementation
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8. Training and community
”To summarize the summary of the summary: people are a problem”
Douglas Adams, The Restaurant at the end of the Universe
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9. Time, Effort, Cost
Research software and databases depend on research communities
to maintain/develop/curate
Training is essential – pay people to do it right.
Building communities is hard work and takes time – pay people to do
it right.
Enthusiasm != Sustainability
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11. Community of Practice in training
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12. FAIRsFAIR
CODATA-RDA schools for ECRs (Research Data Science skills)
Two weeks face to face -> Ten weeks online
Data Steward Instructor Training
Identifying that regional / (small) national level critical mass of Data Stewards
Data Steward principles but also pedagogy and network building
2020 - University of Manchester and UNA, Costa Rica
2021 – Flanders Open Science Board, NORF (Ireland)
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