data e-infrastructures(including the federation of Open Access Repositories)

European Infrastructure for Science GovernanceEuropean Parliament

Brussels, 26 March 2013

Carlos Morais Pires, European CommissionDG CONNECT, unit C1

carlos.morais-pires[@]ec.europa.eu@CarlosMPires

Author’s views do not commit the European Commission

summary

• Data as Infrastructure: Europe is "Riding the Wave"

• Implementing Interoperable Data Infrastructure

• balancing community driven and service driven initiatives

• Data Infrastructure in FP7 (examples of project initiatives)

• Policy framework related with data infrastructures

• Main Messages

data as infrastructure: Europe is Riding the Wave

The High Level Expert Group on Scientific Data presented Riding the Wave in October 2010

Vision: "data 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".

useful definitions

Data: digital recorded factual material commonly accepted in the scientific community as necessary to validate research findings

(not include lab notebooks, preliminary analysis, drafts of scientific papers, plans for future research, peer review reports, communication with peers, physical objects, lab specimens)

[c.f. White House Memo on "Increasing Access to the Results of Federally Funded Scientific Research"]

Data infrastructures: services, applications, tools, knowledge and policies for research data to be discoverable, understandable, accessible, preserved and curated… and available 24/7

implementing interoperable data infrastructure

(a)data generators; research projects, big research infrastructure, installations or medium size laboratories, simulation centres, surveys or individual researchers

(b)discipline-specific data service providers, providing data and workflows as a service

(c) providers of generic common data services (computing centres, libraries)

(d)researchers as users, using the data for science and engineering

community driven data infrastructure, including ESFRI, ESFRI clusters and others

network infrastructure, GÉANT

distributed computing/software infrastructure

scientific data infrastructure

data infrastructure:bridging islands

bridges

Science. Set Free.

Research results. Linked.

Open. Share. Re-use.

ScientificInformation Infrastructure

8

Data driven research across disciplinary and geographical boundariesRegister relevant data objects stored in certified repositoriesVirtually integrate data objects in trusted federations Foster advancements in interoperability of object contentFragmentation and heterogeneity of data require standardization vs. innovation dynamics

European Data Centers

Collaborative Data Infrastructure EUDAT Scenario

DESY

ARGO

MetaNet

INCF

HealtheChild

service-driven data e-infrastructures

community-driven data e-infrastructuresSCIDIP-ES (Earth Observation Long Term Data Preservation )

Adapted from a slide of Dr. Mirco Albani (ESA), project leader of SCIDIP-ES

community-driven data e-infrastructures

The Virtual Observatory concept is a bold community-led response to the challenges the astronomical community faces in data management and storage.

Impressive progress has been made and the momentum of the International Virtual Observatory Alliance will ensure sustained progress.

All ESFRI Life Sciences infrastructures, coordinated by EMBL

Interoperability across data sources and services

EU funding : 10.5 M€, started in 2012

EATRIS

EMBRC

EU-Openscreen

ECRIN

Euro-Bio-imagingBSL4

BIOBANKS-BBMRI

EBI-ELIXIR

INFRAFRONTIER

INSTRUCT

Implementation Cluster for Life Science BioMedBridg

es

Development of common reference model , standards, and common components for data pre-processing and post-processing

Contribution to GEOSS (Global Earth Observation System of Systems) and compliance with INSPIRE EC Directive

Large participation of ICT and e-infrastructures actors (key partners from D4SCIENCE, GENESI, EGI, EUDAT, PRACE…)

EPOS

EURO-ARGO

ICOS

SIOS

EMSOEISCAT

LIFE-WATCH

EU funding : 3.7 M€, started in 2011

Implementation cluster for Environment

ENVRI

Research Data Alliance:Common Infrastructure, Policy and PracticeDrives Data Sharing and Exchange throughout the Data Life Cycle

From Prof. Fran Berman and Prof. John Wood, Members of the RDA Council

Open Infrastructures for Open Science

COM and REC on Scientific Information

Adopted July 2012

Open Access to publications… and data

Long term preservation,

Capacity building with e-infrastructures

On-going discussions with Council and EP

Policy formulated Policy not formulated

Formulated, notimplementing

Formulated, im

plementing, no

outcomes

Formulated, implementing, with outcomes

Policy formulated Policy not formulated

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Formulated, im

plementing, no

outcomes

Formulated, implementing, with outcomes

Policy formulated

Policy not formulatedFormulated, not

implementing

Formulated, im

plementing, no outcom

es

Formulated, implementing,

with outcomes

Policy formulated Policy not formulatedFormulated, notimplementing

Formulated, im

plementing, no outcom

es

Formulated, implementing, with outcomes

National policy not formulated

National policy formulated but not implemented

National policy formulated, implemented but no outcomes yet

National policy formulated, implemented, and outcomes delivered

OA Publications OA Data Preservation eInfrastructures

Better Access to Scientific Informationslide from Neil Jacobs (JISC) presentation to the EC

consultation towards horizon2020

intelligent access to scientific information

We don't know how scholarly communication

will adapt to new paradigms bringing closer

human and machine readable information...

e-Infrastructure can help realising the

AAIR vision and opportunities for

innovation in publishing

publication + data + software

data e-Infrastructure: framework for action

1. community support data services

2. infrastructure for Open Access

3. store, managing and preserving research data

4. discovery and provenance of research data

5. towards global data e-infrastructures

6. Authentication and Authorisation e-infrastructures

7. skills and new professions for research data

main messages

• Research Data "is" an Infrastructure for modern science

• Data is generated and used by disciplinary communities

• Data is stored, moved and processed by common infrastructures

• Crossing disciplinary and geographic boundaries requires

• exploring the commonalities of data infrastructures

• implement global and interoperable data infrastructures

• Policies for Open Access remove, where possible, barriers to access and share data

• H2020 will make OA to publication the rule

• H2020 will start a pilot on OA to publicly funded research data

Carlos Morais Pires

Thank you!