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Data e-infrastructures (including the federation of Open Access Repositories) European Infrastructure for Science Governance European Parliament Brussels,

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Presentation on theme: "Data e-infrastructures (including the federation of Open Access Repositories) European Infrastructure for Science Governance European Parliament Brussels,"— Presentation transcript:

1 data e-infrastructures (including the federation of Open Access Repositories) European Infrastructure for Science Governance European Parliament Brussels, 26 March 2013 Carlos Morais Pires, European Commission DG CONNECT, unit Authors views do not commit the European Commission

2 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

3 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".

4 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

5 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

6 network infrastructure, GÉANT distributed computing/software infrastructure scientific data infrastructure data infrastructure: bridging islands bridges

7 Science. Set Free. Research results. Linked. Open. Share. Re-use. Scientific Information Infrastructure

8 8 Data driven research across disciplinary and geographical boundaries Register relevant data objects stored in certified repositories Virtually integrate data objects in trusted federations Foster advancements in interoperability of object content Fragmentation and heterogeneity of data require standardization vs. innovation dynamics European Data Centers Collaborative Data Infrastructure EUDAT Scenario DESY ARGO MetaNet INCF Health eChild

9 OA Publication Infrastructure Open Data Infrastructures service-driven data e-infrastructures

10 community-driven data e-infrastructures SCIDIP-ES (Earth Observation Long Term Data Preservation ) Adapted from a slide of Dr. Mirco Albani (ESA), project leader of SCIDIP-ES

11 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.

12 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-imaging BSL4 BIOBANKS-BBMRI EBI-ELIXIR INFRAFRONTIER INSTRUCT Implementation Cluster for Life Science BioMedBridges

13 èDevelopment of common reference model, standards, and common components for data pre-processing and post- processing èContribution to GEOSS (Global Earth Observation System of Systems) and compliance with INSPIRE EC Directive èLarge participation of ICT and e-infrastructures actors (key partners from D4SCIENCE, GENESI, EGI, EUDAT, PRACE…) EPOS EURO- ARGO ICOS SIOS EMSO EISCAT LIFE- WATCH EU funding : 3.7 M, started in 2011 Implementation cluster for Environment ENVRI

14 Research Data Alliance: Common Infrastructure, Policy and Practice Drives Data Sharing and Exchange throughout the Data Life Cycle From Prof. Fran Berman and Prof. John Wood, Members of the RDA Council

15 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

16 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 PublicationsOA DataPreservationeInfrastructures Better Access to Scientific Information slide from Neil Jacobs (JISC) presentation to the EC

17 consultation towards horizon2020

18 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

19 data e-Infrastructure: framework for action support data services 2.infrastructure for Open Access, 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


21 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

22 Carlos Morais Pires Thank you!

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