e-infrastructures Orientations for Horizon 2020

Kostas GlinosDG CONNECT

Development, deployment &

operation of ICT-based e-

Infrastructures

Developing the European research infrastructures for 2020 and beyond

Fostering the innovation potentialof Ris and their human capital

Reinforcing European RI policy and international cooperation

Integrating and opening

existing national RI of pan-European

interest

Developing new world-class RI

Matrix approach to

implementatio

n

Research Infrastructures in H2020

900 M€

3••• 3

Infrastructure: “The basic systems and services … a country or organisation needs to work efficiently” Maturity

Ubiquity

Accessibility

Transparency (usability)

Trust, reliability

Formation

Through connecting isolated systems and networks

Transformative, innovative, collaborative

Characteristics of (e-)infrastructures

Cambridge dictionary

Notion includes technical, legal and organisational systems, as well as social and cultural dispositions

••• 3

Staying Competitive in Science

Large scale collaborations becoming the norm often global virtual research communities access to rare/remote resources

Data-intensive science and innovation Use and manage exponentially growing sets of data

Experimentation in silico, simulation Use of high-performance computing

by Science-Metrix Inc. - Data from Scopus, using books, trade journals and peer-reviewed journals

Data explosion

Life Sciences and Health

Industrial & Engineering Application for transport

and energy

Fundamental sciences: Physics, Chemistry, Material Sciences,

Astrophysics Applications.

Weather, Climate & Earth Sciences

Simulation and in silico experimentation

Virtual research communities and e-science environments

. . . . . .

.

Research networks – GÉANTResearch networks – GÉANT

Computational infrastructure (HPC, clouds, grids, SW)Computational infrastructure (HPC, clouds, grids, SW)

Data-centric science and engineeringData-centric science and engineering

e-Infrastructures Visionto make every researcher digital, through the development

and deployment of e-infrastructures – achieve the digital ERA

Approach in H2020

• De-layering: integrated e-infrastructure services for research communities

• Coordination and synergies with MS e-infrastructure development - also taking advantage of structural fund financing

• Going beyond science -> triangle science – industry – society

• Integrating innovation activities in e-infrastructure development

• Mapping societal and policy needs to e-infrastructure development

• Implementing strategic international cooperation, e.g:

• optimising the inter-connectivity of GÉANT with other global research and education networks

• ensuring the sustainability of the Research Data Alliance (RDA) as an integral part of EU strategy

Priority on implementation

• Riding the wave of "big data", supporting seamless access, use, re-use, and trust

• Support to Open Access (Communication on Scientific Information) and to federating researcher electronic identities (ERA Communication)

• GÉANT as the European communications commons (recommendations of the GÉANT Expert Group)

• Implementing the HPC Strategy (Communication on HPC), through the development of services (PRACE) and applications (Centres of Excellence)

Communication on HPC

Europe’s place in a global RaceCOM(2012) 45

15.2.2012

Orientations

• Data-centric science and engineering

Infrastructure for open access, management of extremely large research datasets, persistence and trust, as well as community-driven data infrastructures, and global coordination for research data

• Computational infrastructure

Support to setting up of HPC Centres of Excellence, deployment of HPC Tier-0 services through PRACE, and deployment of open platforms for scientific computing

• GÉANT Development and operation of the GÉANT infrastructure, support to

international links and opening and strengthening innovation activities

• e-Infrastructures for virtual research environments

Supporting VRE's as an open call (bottom-up)

• Policy development and international cooperation Global reach and connectivity; governance; sustainability; coordination

with MS; e-IRG

Open Science

Open Scientific Content

data, computational resources and software resulting from public funded research should be made openly available and preserved, for re-use in research and education activities

Open Infrastructures

reliable, high-performance and economically efficient infrastructures

Open Culture

career systems should support and reward those who participate in the culture of sharing. Open science should inspire the young and enable adequate education to benefit from the abundance of technical tools and scientific information

“Our vision is a scientific e-Infrastructure that supports seamless access, use, re-use and trust of data. In a sense, the physical and technical infrastructure becomes invisible and the data themselves become the infrastructure – a valuable asset, on which science, technology, the economy and society can advance.”

Digital Preservation in EuropeBy Parse.Insight

10 Tales on Data SharingBy project ODE

DOI/DAIBy DIGOIDUNA

reports and studies

Global SDIBy GRDI2020

reports and studies

17

Tools for virtual research environments

Tools for virtual research environments

Generic services: preservation, curation storage and computation

Open Access: participatory, distributed infrastructure

Astronomy

Environment

…

Biolo

gy

Medici

ne

Atmosphere/Space Physics

Social SciencesScientific Data(Discipline Specific)

Other Data

Researcher 1

Non Scientific World

Scientific WorldResearcher 2

Aggregated Data Sets(Temporary or Permanent)

Workflows

Aggregation Path

VRE

VRE

Governance(rules for access and preservation)

Services Manag. of Databases/Repository

Discoverability/Provenance(Metadata, DOIs, DAIs, …)

Processing, Computation

Connectivity/Storage infrastructure

Information(Human and Machine)

Adapted from e-SciDR study

need for coordination at European level

e-Infrastructure of Data

e-Infrastructure for Data

Data analytics for very large datasets

Data management & preservation infra (for preservation, curation, persistence) Discovery, provenance and persistence

Géant

Computational Infrastructures

Data-centric Science and Engineering

Virtual Research Communities

Operation

Innovation

HPC services (PRACE)

Distributed and data-intensive computing services

Centres of Excellence for applications

Services for SMEs

Community support data services

Infrastructure for Open Access

Persistent identifier infrastructure (for provenance and discovery)

Global data interoperability

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Thanks for your attention!

chemical safety & toxicogenomics:

non-animal tests for predicting chemical safetydiXa

global virtual brain imaging laboratory

outGRID brings together NeuGRID (EU), CBRAIN (Canada) and LONI-ADNI (US)

hydrometeorologyfor natural disasters predictionDRIHM

AstrophysicsParticle and high energy physicsBiomedicineToxicologyEarth sciencesSeismologyGeophysicsMeteorologyComputational ChemistryMaterial sciences…….

e-Infrastructures spendingMain user communities supported (excluding GN, EGI, HPC as a common benefit for all communities)