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Data infrastructures for Science

Mário Campolargo European Commission - DG INFSO F Acting Director. Data infrastructures for Science. DRIVER Summit Towards a Confederation of Digital Repositories G ö ttingen, 16 th January 2008.

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Data infrastructures for Science

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  1. Mário Campolargo European Commission - DG INFSO F Acting Director Data infrastructures for Science DRIVER SummitTowards a Confederation of Digital RepositoriesGöttingen, 16th January 2008 "The views expressed in this presentation are those of the author and do not necessarily reflect the views of the European Commission"

  2. revolution in science & engineering, research & education networking grids instrumentation computing data curation… value added of distributed collaborative research (virtual communities) Application pull Technology push a new vision for Science • Global challenges with high societal impact • Data deluge… wet-labs versus virtual-labs • Improved scientific process… role of simulation • Cross-disciplinarity • Virtual Research Communities

  3. Research Communities • common goals, complementary and shared information, tools and knowledge, awareness of research protocols, effective means of collaboration, interest in being part of the community Virtual research • from empirical, experimental, theoretical and computational science… to intensive use of data… abstraction… models… simulation… e-Science Virtual communities • no geographical, time or institutional boundaries Globalisation • Global challenges, global dimension, win-win situation building Science through collaboration

  4. VirtualCommunity VirtualCommunity VirtualCommunity Meetings, etc. Meetings, etc. Meetings, etc. Workspace Workspace Workspace Virtual Labs Virtual Labs Virtual Labs Scientific Data Scientific Data Scientific Data Grid Grid Grid Economies of Scale EfficiencyGains Network Network Network global virtual research community Scientific Data Grid Network

  5. Astrophysics community WeatherForecast community Biomedics community . . . . . . . ICT for Science: e-Infrastructure Connecting the finest minds Sharing and federating the best scientific resources Building global virtual communities Sharing and federating scientific data Sharing computers, instruments and applications Linking at the speed of the light

  6. user communities e-Infrastructure - implementation virtual labs data middleware network

  7. Euratom Cooperation JRC 4062 M€ 32413 M€ 1751 M€ Capacities 4097 M€ People 4750 M€ Ideas 7510 M€ Research Infrastructures 42% - 1715 M€ Dev. of policies INCO Science in Society Regions of Knowledge SMEs Research Potential Framework Programme 7 (2007-13) e-Infrastructures (ICT for Science) 572 M€

  8. user communities 35M€ new infrastructures - PRACE e-Infrastructure - implementation Support actions virtual labs Deployment of e-Infrastructure for scientific communities Scientific Digital Reposit. Scientific Data Infrast. data e-Science grid Infrast. middleware GÉANT network

  9. capture collect create extract knowledge store validate manage add value Several "continuum" publish disseminate From past and present to future From one to multiple disciplines From one to multiple organisations From raw data to publications From research to education importance of data for Science

  10. e-Infrastructure projects • Scientific Digital Rep. • Scientific Data Infr. • User communities • Support actions ICT e-Contents … creating an European Scientific Data Infrastructure eSciDR (Towards a Europ. e-Infrastructure for e-Science Digital Repositories) Policy actions Studies implementation strategy • Council Decision • CommunicationScientific Inf. /ERA • ESFRI WG • e-IRG

  11. sharing scientific data Improved access to, and sharing of, research data: • Promotes new research practices; • Makes possible the testing of new or alternative hypotheses and methods of analysis; • Enables new scientific insights by the exploration of topics not envisioned by the initial investigators; • Permits the creation of new data sets by the combination of data from multiple sources. • Facilitates the education of new researchers.

  12. sharing scientific data Improved access to, and sharing of, research data: • Supports good management of public investment. • Potentially creates strong innovation value chains. • Enhances the value of global co-operations. • Impacts outside science. Policy requirements identified by e-IRG and ESFRI (availability, preservation/curation, quality, rights of use, interoperability) Conclusions of eSciDR study coming soon

  13. managed sustained protected trusted repositoriesinfrastructure concern for quality discoverable organisational context selected contents qualities of repositories source: eSciDR study (adapted)

  14. council conclusions Council of European Union, 22/23 Nov 2007: • Considering • Access to and dissemination of publications and data crucial for the European Research Area and innovation • Effective long lasting preservation is fundamental • Invites the Member States / Commission • Enhance coordination between MS and large research organisation and funding bodies on access, preservation and dissemination policies and practices • Experiment OA to data and publication from EU projects • Encourages research into digital preservation • Wide deployment of scientific data infrastructures with cross border, cross institution and cross discipline value added for OA and preservation

  15. IMPACT METAFOR EuroVO-AIDA GENESI-DR DRIVER neuGRID EUFORIA D4SCIENCE ETSF EGEE DEISA FEDERICA EVALSO EDGES GÉANT working with scientific communities network middleware data generic e-Infrastructure… user communities involvement

  16. FP7: data repositories IMPACT bio-informatics NMDB space physics METAFOR climatology EuroVO-AIDA astronomy GENESI-DR geosciences DRIVER II federated digital repositories

  17. data repositories projects - highlights • IMPACT unifies data from 10 major databases related to protein families. • NMDB establishes a digital repository for cosmic-ray data, and develops a real-time database from many neutron monitoring stations. • METAFOR defines a Common Information Model (CIM) for climate data handling heterogeneous metadata stand.

  18. data repositories projects - highlights • EuroVO-AIDA unifies digital data collections of astronomy, integrating European data centres into a global Virtual Observatory. • GENESI-DR provides access to earth science digital repository (data from space, airborne, in-situ sensors). • DRIVER II federates scientific repositories based on open standards, supporting complex information objects, cross-discipline.

  19. FP7: user communities/support actions* EUFORIA magnetic fusion neuGRID medical e-Support ETSF spectroscopy  e-NMR  data analysis - biology DORII environmental science, seismology D4Science environment - e-Infrastructure PARSE.insight permanent access records of science  PESI biodiversity * Proposals under negotiation at this stage

  20. data deluge? The animals boarding Noah’s Ark two by two painting by the American Edwards Hicks (1780-1849)

  21. conclusions • Modern Science makes increasing use of ICTs to change the way it is operating. • Amount and importance of scientific data produced is growing exponentially. • e-Infrastructure must support the management of data throughout the whole life cycle (including curation and long term preservation). • Data “is” an infrastructure for Science; scientific data infrastructure is therefore a key perspective in building a European e-Infrastructure. • Europe launched the basis for a consistent action (studies, policies, projects).

  22. further information www.cordis.europa.eu/fp7/ict/e-infrastructure/

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