Science in a Digital Age

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Remarks at the Fraunhofer IME Science Seminar, European Parliament, Brussels, 15 March 2011

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  • Challenges of the “data world” Preserving data Protecting the integrity of data Conveying context and origin of data Funding of data infrastructures Privacy questions linked to data Vision 2030: Stakeholders are aware of importance of preserving and sharing reliable data Data can be easily found, accessed and processed by researchers and practioners Data producers benefit from depositing their data in reliable repositories guided by standards Public funding for data infrastructures increases Public-private exchanges of data are in place The public can access & enrich data, and is educated on how to use it Policy makers can draw on solid evidence in the form of data Global governance promotes international trust and interoperability A Call to action Develop an international framework for a Collaborative Data Infrastructure Earmark additional funds for scientific e-infrastructure Develop and use ways to measure data values Train a new generation of scientists Create incentives for green technology in the data infrastructure Establish a high-level, inter-ministerial group on a global level to plan for data infrastructure
  • Science in a Digital Age

    1. 1. 15 March 2011 Fraunhofer IME Science Seminar European Parliament, Brussels Science in the Digital Age What is the Commission doing? Carl-Christian Buhr European Commission (All expressed views are those of the speaker.)
    2. 2. Actors Neelie Kroes Máire Geoghegan-Quinn Digital Agenda Research & Innovation The College of Commissioners
    3. 3. Advising on... Scientific Information e-Infrastructures (FP7 Capacities Programme) etc. http://bit.ly/NeelieKroesEU, @NeelieKroesEU http://ec.europa.eu/digital-agenda http://bit.ly/cc_buhr, @ccbuhr
    4. 4. The DAE sets out a vision and an action plan. 101 Actions Chapter 5 on ICT Research + Infrastructures First Flagship Initiative of the EU2020 Strategy
    5. 5. <ul><li>“ The Digital Agenda for Europe outlines policies and actions to maximise the benefit of the digital revolution for all . Supporting research and innovation is a key priority of the Agenda, essential if we want to establish a flourishing digital economy. ” </li></ul>A Digital Agenda for Europe (COM(2010)245, 19.05.2010), http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:52010DC0245(01):EN:NOT R&I in the Digital Agenda
    6. 6. <ul><li>e-Science: what can Science do for us? </li></ul><ul><ul><li>Societal, global challenges </li></ul></ul><ul><ul><li>Science is changing ICT and ICT is changing Science </li></ul></ul><ul><li>e-Infrastructures: what can we do for Science? </li></ul><ul><ul><li>Connectivity, Processing, Information, Collaboration </li></ul></ul><ul><ul><li>Mobilization of the research communities </li></ul></ul>
    7. 7. Importance of embracing the e-Science paradigm shift Strategic role of e-Infrastructures as a crucial asset underpinning European research and innovation Need reinforced and coordinated effort by Member States and the scientific community 2009 Commission Communication: ICT Infrastructures for e-Science ICT Infrastructures for e-Science (COM(2010)245, 19.05.2010), http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2009:0108:FIN:EN:PDF
    8. 8. Global challenges Big distances, big numbers, big files Virtual-labs, information flood Science & technology: positive loop e-Infrastructures changing Science, Scientists changing e-infrastructures On the verge of a new scientific renaissance e-Science Climate simulation, Virtual Physiological Human, virtual experimentation, etc. CERN : Large Hadron Collider 600m collisions/s, data needs to get to 7000 scientists in dozens of countries.
    9. 9. Complexity calls for multi-disciplinarity Eumorphia/ Phenotypes Mutants Large resources in related disciplines Mouse Atlas Source: Graham Cameron (EBI) Chemical data resources Biodiversity data resources Flybase MGD SGD IMGT Pasteur DBs Core biomolecular resources biomolecular data Specialist resource examples Model organism resource examples Medical data resources BRENDA
    10. 10. e-Science & e-Infrastructures e-Science Scientific Communities Geographically spread Culture heterogeneity Problem complexity Volumes of information Ensuring quality of information Lack of incentives to share Organisational barriers e-Infrastructures Connectivity Collaboration Processing, Simulation Repositories of data Curation/Review Recognition, provenance, trust Governance models/Knowledge advantage
    11. 11. European R&D Framework Programme FP7 (2007 to 2013) <ul><li>FP7: EUR 55bn </li></ul><ul><ul><li>Cooperation: EUR 32bn </li></ul></ul><ul><ul><li>Ideas: EUR 7.5bn </li></ul></ul><ul><ul><li>People: EUR 4.75bn </li></ul></ul><ul><ul><li>Capacities: EUR 4.1bn </li></ul></ul><ul><ul><ul><li>Research Infrastructures: EUR 1.7bn </li></ul></ul></ul><ul><ul><ul><ul><li>e-infrastructures: EUR 0.57bn </li></ul></ul></ul></ul>http://cordis.europa.eu/fp7/ict/e-infrastructure/
    12. 12. To facilitate a rapid transition to e-Science , the European Commission and Member States have made significant investments in e-Infrastructures: What we can do for Science Linking all at light speed GÉANT Accessing knowledge scientific data Innovating the scientific process global virtual research communities Designing future facilities PRACE - High-Performance Computing Sharing the best resources e-Science distributed computing
    13. 13. <ul><li>Pan-European coverage (40+ countries/3900+ universities/30+ million students) </li></ul><ul><li>Hybrid architecture: </li></ul><ul><ul><li>connectivity at 10-40 Gb/s (aggregated traffic) </li></ul></ul><ul><ul><li>dark fiber wavelengths (for demanding communities) </li></ul></ul><ul><li>Global reach </li></ul>For example: GÉANT http://www.geant.net/
    14. 14. For example: European Grid Initiative http://www.egi.eu/ http://rtm.hep.ph.ic.ac.uk/webstart.php
    15. 15. For example: PRACE Partnership for Advanced Computing in Europe Supercomputing is a key priority to boost Europe’s scientific performance. PRACE aims to deploy an ecosystem of Petascale machines in Europe, aiming at attaining exa-scale performance by 2020. http://www.prace-project.eu/
    16. 16. And data? http://bit.ly/riding_the_wave ” Our Vision is a scientific e-infrastructure that supports seamless access, use, re-use, and trust of data. In a sense [...] the data themselves become the infrastructure – a valuable asset, on which science, technology, the economy and society can advance”.
    17. 17. Scientific Data Infrastructure Initiatives Chemistry network infrastructure, GÉANT biology distributed computing/software infrastructure astro Earth Obs Climate scientific data infrastructure
    18. 18. <ul><li>Pointers </li></ul><ul><li>The Digital Agenda for Europe </li></ul><ul><li>http://ec.europa.eu/digital-agenda </li></ul><ul><li>Riding the wave – Final report of the High Level Expert Group on Scientific Data, October 2010 </li></ul><ul><li>http://bit.ly/riding_the_wave </li></ul><ul><li>Neelie Kroes Speech on the same topic </li></ul><ul><li>http://europa.eu/rapid/pressReleasesAction.do?reference=SPEECH/10/518 </li></ul><ul><li>Communication: ICT infrastructures for e-Science </li></ul><ul><li>http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2009:0108:FIN:EN:PDF </li></ul><ul><li>More information on the e-infrastructures Programme </li></ul><ul><li>http://cordis.europa.eu/fp7/ict/e-infrastructure/ </li></ul><ul><li>Post-2013 Research Green Paper & Public Consultation </li></ul><ul><li>http://ec.europa.eu/research/csfri/index_en.cfm </li></ul><ul><li>Contacts </li></ul><ul><li><web>http://bit.ly/{NeelieKroesEU, cc_buhr}</web> </li></ul><ul><li><twitter>@NeelieKroesEU, @ccbuhr</twitter> </li></ul><ul><li><facebook>http://on.fb.me/Neelie_Kroes</facebook> </li></ul>

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