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www.eudat.eu	
EUDAT receives funding from the European Union's Horizon 2020 programme - DG CONNECT e-Infrastructures. Contract No. 654065
Service provisioning for
Excellent Science
Daan Broeder – EUDAT/CLARIN
EUDAT
A bit of EUDAT history
  EUDAT started in 2011 as an initiative to face the data
deluge and the increasing complexities and
costs of isolated solutions
  provide general data management services
for a large variety of communities
  there are many common requirements
  … addressed by common services delivered
by a federation of compute and data centers
  … research community driven
  sustainable
  EUDAT Initiative Funded by EC projects
  EUDAT 2011 – 2014 25 partners 16ME
  EUDAT2020 2015 – 2018 37 partners 20ME
  Participate in EOSC-Hub from 2018
Community	Repositories	
(thema5c	data	centres)	
EUDAT	generic	data	
service	provider	
storage,	workflows,	
processing,	archive	
Collaborative Data Infrastructure (CDI)
A collaboration between
Service Providers and
Research Communities
A Partnership Agreement
specifying the mutual obligations
between the EUDAT centres
a portfolio of data
management services
A data and service model that
ensures the CDI’s interoperability,
extensibility and stability
Network providing consultancy,
training, sharing of technology across
partners
What is the EUDAT Service offer?
  Common Language Resources and Technology
Infrastructure (CLARIN)
EUDAT Core Communities Partners
  European Network for Earth System Modelling (ENES)
  Distributed infrastructure for life-science information
(ELIXIR)
  European Plate Observing System (EPOS) - Solid Earth
sciences Research Infrastructure
  Integrated Carbon Observation System (ICOS) to
quantify & understand greenhouse gas balance
  Long-Term Ecosystem Research (LTER) in Europe
Partners in EUDAT2020,
instrumental for EUDAT service strategy development and positioning
Broad community engagement
Requirements	&	use-case	gathering	
-  Core	Communi5es	specify	broad	sets	of	requirements	covering	
their	whole	data	life	cycle	
-  Call	for	Data	Pilots	->	24	collabora5ons,	large	variety	of	
disciplines	&	use	cases	
-  Par5cipa5on	in	community	projects,	EUDAT	WGs,	interview	TF	
-  Very	labor	intensive,	5me-consuming	
	
Outreach	&	Communica5on	aspects		
-  Communi5es	organised	on	a	EU	level	should	be	covered	
-  In	the	current	project	and	beyond,	but	…	
-  Outreach	to	smaller	groups	and	individuals	scales	badly	
-  Can	leverage	EUDATcenters	par5cipa5ng	in	na5onal	projects	
-  Training	&	Documenta5on	addressing	different	levels	of	
technical	proficiency		requires	large	investments
How to be more efficient?
  Make use of specialized organizations & networks ….
  Requirements to be delivered by RDA, W3C, ISO, IETF, …?
  Accepting such input is often self-evident, but not always
  What about aspects as: speed, coverage, pragmatism,
flexibility, representativity?
  Data management expertise and consultancy for DM services
to be provided by academic & research libraries?
  Do they have that ambition, expertise and capacity?
  Overall questions:
  is it in the nature of such organisations to collaborate on
this topic?
  How to organise it and be inclusive to others
A more efficient Picture?
EINFRA	
---------------
Service	
Provisioning	
Std.	
organisa5ons	
-------------------	
Service		Req.	
Defini5on	
Academic	
Libraries	
------------------	
DM	Exper5se	
&	Consultancy	
&	Training
QUESTIONS?

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Service provisioning for Excellent Science (Daan Broeder - EUDAT/CLARIN) | Open Science Fair event

  • 1. www.eudat.eu EUDAT receives funding from the European Union's Horizon 2020 programme - DG CONNECT e-Infrastructures. Contract No. 654065 Service provisioning for Excellent Science Daan Broeder – EUDAT/CLARIN
  • 3. A bit of EUDAT history   EUDAT started in 2011 as an initiative to face the data deluge and the increasing complexities and costs of isolated solutions   provide general data management services for a large variety of communities   there are many common requirements   … addressed by common services delivered by a federation of compute and data centers   … research community driven   sustainable   EUDAT Initiative Funded by EC projects   EUDAT 2011 – 2014 25 partners 16ME   EUDAT2020 2015 – 2018 37 partners 20ME   Participate in EOSC-Hub from 2018
  • 4. Community Repositories (thema5c data centres) EUDAT generic data service provider storage, workflows, processing, archive Collaborative Data Infrastructure (CDI) A collaboration between Service Providers and Research Communities A Partnership Agreement specifying the mutual obligations between the EUDAT centres a portfolio of data management services A data and service model that ensures the CDI’s interoperability, extensibility and stability Network providing consultancy, training, sharing of technology across partners
  • 5. What is the EUDAT Service offer?
  • 6.   Common Language Resources and Technology Infrastructure (CLARIN) EUDAT Core Communities Partners   European Network for Earth System Modelling (ENES)   Distributed infrastructure for life-science information (ELIXIR)   European Plate Observing System (EPOS) - Solid Earth sciences Research Infrastructure   Integrated Carbon Observation System (ICOS) to quantify & understand greenhouse gas balance   Long-Term Ecosystem Research (LTER) in Europe Partners in EUDAT2020, instrumental for EUDAT service strategy development and positioning
  • 7. Broad community engagement Requirements & use-case gathering -  Core Communi5es specify broad sets of requirements covering their whole data life cycle -  Call for Data Pilots -> 24 collabora5ons, large variety of disciplines & use cases -  Par5cipa5on in community projects, EUDAT WGs, interview TF -  Very labor intensive, 5me-consuming Outreach & Communica5on aspects -  Communi5es organised on a EU level should be covered -  In the current project and beyond, but … -  Outreach to smaller groups and individuals scales badly -  Can leverage EUDATcenters par5cipa5ng in na5onal projects -  Training & Documenta5on addressing different levels of technical proficiency requires large investments
  • 8. How to be more efficient?   Make use of specialized organizations & networks ….   Requirements to be delivered by RDA, W3C, ISO, IETF, …?   Accepting such input is often self-evident, but not always   What about aspects as: speed, coverage, pragmatism, flexibility, representativity?   Data management expertise and consultancy for DM services to be provided by academic & research libraries?   Do they have that ambition, expertise and capacity?   Overall questions:   is it in the nature of such organisations to collaborate on this topic?   How to organise it and be inclusive to others
  • 9. A more efficient Picture? EINFRA --------------- Service Provisioning Std. organisa5ons ------------------- Service Req. Defini5on Academic Libraries ------------------ DM Exper5se & Consultancy & Training