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The Irish Centre for High-End Computing (ICHEC)
• Set up in 2005 from a “green field”• First ever National HPC Centre in RoI• Mission includes:
– National HPC Service– Cornerstone of Irish e-Infrastructure– Economic development through industry
engagement• Base Centre funding from SFI/HEA
– Linked to six government depts
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Data intensive research• Legislative Framework
– Data Protection Commissioner• Policies and guidelines
– from funding agencies, e.g.• Science Foundation Ireland, Higher Education
Authority, Environmental Protection Agency, Health Research Board, Irish Research Council
– from advisory bodies, e.g.• Health Information & Quality Authority
• International best practice– “Open Data” out of scope
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Ecosystem & topical areas
• National Research Prioritisation Exercise
A – Future networks & comms B – Data analytics, mgt, security, … C – Digital platforms, contents & appsD – Connected health & indep. livingE – Medical diagnosticsF – Diagnostics G – Therapeutics H – Food for healthI – Sustainable food production, …J – Marine renewable energyK – Smart grids & smart citiesL – Manufacturing competitivenessM – Processing tech & novel materialsN – Innovation in services, …
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CS1 – Humanities Soc. Sciences
• Initiatives to develop national digital repository for the humanities and social sciences
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CS1 – Humanities Soc. Sciences
• Initiatives to develop national digital repository for the humanities and social sciences
• Project-based funding– 2007-12: Digital Humanities Observatory
(DHO)– 2011-15: Digital Repository of Ireland (DRI)
• Sustainability vs. data curation & preservation?– Staff turn around (loss of expertise)– Running costs for service past end of grant?– Lack of strategy for sustainability past end of
grant
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CS1 – Humanities Soc. Sciences
• Constraints determine model – Institutions “hold on” source data– Metadata aggregation platform at national
level though project funded initiatives– Persistent service available at European
level• Europeana and DARIAH (ESFRI)• Interoperability (ESE/DRIM)• Streamlining integration of Irish
humanities data into a EU context
• Sustainable National e-Infrastructureand topical centres required
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CS2: CMIP5 (Climate Sciences)•Impact of national policies on participation in international initiatives •CMIP5: Model Intercomparison Project 5 for the UN IPCC report• ICHEC a partner in the EC-Earth climate model. Handles data mgt• Each model uploads core experiment results to main centres• Other model results kept “locally”
– model centre (e.g. ICHEC) runs an “Earth System Grid” (ESG) data node
– portals retrieve this data via ESG data node
ICHEC
B. Lawrence, 2009
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CS2: CMIP5 (Climate Sciences)
• Climate data mgt at Irish ESG node– Processed 1-10M files (>3PB) from 14 EU partners– Workflow for optimised publishing and analysis
• From guidelines and best practice– NetCDF/OpenDAP, CMOR, CF
conventions for climate data, etc.– INSPIRE directive (2007/2/EC)
• Main challenge– Sustainability of underpinning e-Infrastructure
• Self-funded… no medium/long term commitment
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CS3 – Clinical Research
• Irish Clinical Research Infrastructure Network (ICRIN) – Founded by Molecular Medicine
Ireland• to engage with the constituent
teaching hospitals to develop a national clinical research infrastructure,
• to harmonise clinical research processes, to connect with European networks,
• to develop education and training programmes and to support investigators in conducting multi-centre clinical studies.
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CS3 – Clinical Research
• Leverages on investments by the HRB and the Wellcome Trust in clinical research facilities
• Promotes and facilitates engagement of the clinical research community in Ireland – to a common strategy, – adopting harmonised processes and practices, – and fostering education and training in all
aspects of clinical research, particularly multi-centre studies.
• ICRIN, as the Irish member of the European Clinical Research Infrastructure Network.
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Closing thoughts
• Personal views:1. International framework (e.g., INSPIRE) preferable2. Policies need to support sustainability of
underpinning e-Infrastructure3. Importance of Platform Science & Technology still
not understood4. Policies need to incentivise/require sharing of
data5. Changing “Business as usual” mentality6. Urgent need to develop creation of a new breed
of “Data Scientists” and include generic skills in STEM curriculum