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

2. 2 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 networking grids instrumentation computing data curation… Technology push value added of distributed collaborative research (virtual communities) Application pull

3. 3 building Science through collaboration 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

4. 4 Virtual Community Meetings, etc. Workspace Virtual Labs Scientific Data Grid Network Virtual Community Meetings, etc. Workspace Virtual Labs Scientific Data Grid Network global virtual research community Virtual Community Meetings, etc. Workspace Virtual Labs Scientific Data Grid Network Scientific Data Grid Network Economies of Scale Efficiency Gains

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

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

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

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

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

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

11. 11 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. sharing scientific data

12. 12 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. sharing scientific data Policy requirements identified by e-IRG and ESFRI (availability, preservation/curation, quality, rights of use, interoperability) Conclusions of eSciDR study coming soon

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

14. 14 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 council conclusions

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

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

17. 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. 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. 19 FP7: user communities/support actions * EUFORIA neuGRID D4Science ETSF e-NMR DORII PESI PARSE.insight magnetic fusion medical e-Support environment - e-Infrastructure spectroscopy data analysis - biology environmental science, seismology biodiversity permanent access records of science * Proposals under negotiation at this stage

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

21. 21  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). conclusions

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