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Scientific Data for open knowledge circulation. An ever changing perspective from wherever you come from John Wood Secretary-General, Association of Commonwealth.

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Presentation on theme: "Scientific Data for open knowledge circulation. An ever changing perspective from wherever you come from John Wood Secretary-General, Association of Commonwealth."— Presentation transcript:

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2 Scientific Data for open knowledge circulation. An ever changing perspective from wherever you come from John Wood Secretary-General, Association of Commonwealth Universities Chair of European Research Area Board Previous chair of High Level Group on Scientific Data

3 Data is the new oil Expert says Peninsular Newspaper 5 th December Qatar

4 Which has the greatest impact – nature or nurture? PSID: longitudinal data on 8000 families over 40 years Where are the brown dwarfs? NVO: Data from 50+ astronomical sky surveys and large-scale telescopes. Are current stresses on this bridge dangerous? Terabridge data set: Structure sensor data for real-time data mining, event detection, decision support and alert dissemination How does disease spread? PDB: World wide reference collection of protein structure information What is the impact of a large-scale earthquake on the Southern San Andreas Fault? Digital data from Southern California Earthquake Center simulations used for disaster planning and building requirements Research today Slide from Dr. Francine Berman's presentation Got Data? New Roles for Libraries in Shaping 21st Century Research Dr. Berman is V. President for Research, Rensselaer Polyt. Institute; Co-Chair of US Blue Ribbon Task Force for Sustainable Digital Preservation and Access

5 A world in transformation... Technology – a major factor of change Internet (instantaneous communication) Miniaturisation (pervasiveness) Virtualisation (information/data)

6 Science in transformation More intense/global collaborations between scientists, between machines across disciplines ICT Infrastructures enabling e-Science drivers of social transformations Impact of cyber-democracy – who can we trust? Information becomes an infrastructure

7 Science 2.0 – main trends (figure 1) […] The data availability landscape transforms because of interrelated major trends. The cost for accessing data has dramatically lowered: much of the useful statistics and more general data from (often publicly funded) research are now published and freely accessible in raw format on the web. […] much more data collected and archived today than ever before, and the volume is growing at an exponential rate […] reference: Science 2.0 (change will happen….) J.C Burgelman, D. Osimo & M. Bogdanowicz Scientific Data – Information cycle/continuums – Costs (associated with quality) – Roles and tensions between todays stakeholders – Scenarios for the future (High-Level Group on Scientific Data) Science in transformation

8 Meeting 21st Century Challenges strategic to embrace the e-Science paradigm shift and the strategic role of e-Infrastructures as a crucial asset underpinning European research and innovation policies e-Science benefiting from pervasive technologies for high- speed communication and information processing Science is global, e-Science even more so: 35% of articles in leading journals result from international collaboration (that was 25% 15 years ago) Data infrastructures are key enablers of e-Science

9 The Centrality of Research Infrastructures for Innovation

10 Information in the on-line ERA is the basis for e-Science produced in large volumes more complex expressions of knowledge not only human readable for machine-to-machine communication volatile but need for permanence traditional organisations adapting to manage data

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13 CESSDA Council of European Social Science Data Archives CLARIN Common Language Resources and Technology Infrastructure DARIAH Digital Research Infrastructure for the Arts and Humanities ESS European Social Survey SHARE Survey on Health, Ageing and Retirement in Europe Social Science and Humanities RIs currently in progress Copyright © 2009 Norwegian Social Sciences Data Services Grenoble, September 10, 2009

14 RAMIRI HamburgSept Steven Krauwer14 CLARIN Common Language Resources and Technology Infrastructure Basic idea: European federation of digital archives with language data and tools (text, speech, multimodal, gesture …) target audience humanities and social sciences scholars with uniform single sign-on access to the archives with access to language and speech technology tools to retrieve, manipulate, enhance, explore and exploit data all languages are equally important to cover all EU and associated countries

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16 The X-ray free-electron lasers will provide coherent radiation of the proper wavelength and the proper time structure, so that materials and the changes of their properties can be portrayed at atomic resolution in four dimensions, in space and time. Diffraction pattern of 10 x 10 x 10 Au cluster Fascination - FELs for hard X-rays

17 Technology Forecast – Storage at DESY Year Rate Capability [Gbyte/sec] Storage Space [Petabyte] not a technology problem money and manpower issues to be determined: user behaviour compression and accept/reject algorithms potentially critical: access to data!

18 Science driver:- Integration of Data (and publications ) Neutron diffractionX-ray diffractionNMR } High-quality structure refinement }

19 Data ingest Managing petabytes+ Common schema(s) How to organize? How to re-organize? How to coexist & cooperate with other scientists and researchers? Data query and visualization tools Support/training Performance Execute queries in a minute Batch (big) query scheduling Experiments & Instruments Simulations facts answers questions ? Literature Other Archives facts

20 Data Services Community Support Services Astronomy Climatology Chemistry History Biology Computing Infrastructure Persistent Storage Capacity Integrity Authentication & Security API Data Discovery & Navigation Workflows Generation Demography Scientific Data (Discipline Specific) Other Data Researcher 1 Non Scientific World Scientific World Researcher 2 Aggregated Data Sets (Temporary or Permanent) Workflows Aggregation Path Source: High-level Group on Scientific Data

21 ERA 2030: ERABs STRATEGIC VIEW October 2009

22 An ERA driven by societal needs to address the Grand Challenges

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24 Rising tide of data A fundamental characteristic of our age is the rising tide of data – global, diverse, valuable and complex. In the realm of science, this is both an opportunity and a challenge Report of the High-Level Group on Scientific Data, Oct 2010 Riding the wave: how can Europe gain from the rising tide of scientific data

25 Data as Infrastructure 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. Report of the High-Level Group on Scientific Data, Oct 2010 Riding the wave: how can Europe gain from the rising tide of scientific data

26 Vision 2030 (8) Global governance promotes international trust and interoperability. Member states should publish their strategy, and resources, for implementation, by Create a European framework for certification for those coming up to an appropriate level of interoperability. Create a scientific Davos meeting to bring commercial and scientific domains together. IMPACT IF ACHIEVED We avoid fragmentation of data and resources.

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