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e-Science: Understanding Research Data

e-Science: Understanding Research Data. Malcolm Atkinson & David De Roure mpa@nesc.ac.uk & dder@ecs.soton.ac.uk 20 October 2009 RCUK fact-finding mission Reporting Back. Data Quest: 7-30 Sept. 2009. http://blog.openwetware.org/deroure/.

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e-Science: Understanding Research Data

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  1. e-Science: Understanding Research Data Malcolm Atkinson & David De Roure mpa@nesc.ac.uk & dder@ecs.soton.ac.uk 20 October 2009 RCUK fact-finding missionReporting Back

  2. Data Quest: 7-30 Sept. 2009 http://blog.openwetware.org/deroure/ http://wikis.nesc.ac.uk/escienvoy/Main_Page#Fact-finding_mission_to_the_USA_-_September_2009

  3. Preview: Digital Revolution • Abundant data • Intense activity • All forms of data • All disciplines • Range of maturity • From raw numbers in files to linked data sites in RDF • No boundary between documents and data • New architectures • Beacons of good practice • Trusted centres • New “instruments” • Intellectual “ramps” • Going the “last mile” • Niches in a digital ecosystem • Co-evolution • Multiple large investments • Software & data projects

  4. Data’s time has come ‘twas ever thusdata + algorithm= computation Niklaus Wirth

  5. Data data everywhere • Digital data key to global communication • Between people • Between machines • Between software components • The universal connecting glue • 1.8 Zetta bytes by 2011 (1.8×1021) • in 20×1015 data containers • Research data a small part • in a much bigger ecosystem • Triggering the Digital-Data Revolution • higher stress than the previous revolutions • because simultaneous impact on every nation Rich sources of understanding – untapped

  6. Technology & Researchers Co-evolution Tech. display Researchers choose? Niches? Fastest atadaptationwins Is your data technology of interest to researchers?

  7. Access ramp for the mind Easy and low risk to start Progress to advanced skills For research data users Bringing researchers up to speed safely

  8. Leading to specialised data use Giving opportunities to do sophisticated research

  9. Ride a professionally delivered data service and routine research effortlessly

  10. New “instruments” Changed our place in the universe To reveal to the “naked mind”information it cannot see unaided Data to Information to Knowledge to Wisdom NRAO/AUI/NSF

  11. The ‘whole mile’ from data to influence Present Publish Embed Archive Evidence On Demand Find Acquire Prepare Access Data Clean Filter Transform Combine Data Normalise Analyse Review Compare Data andModels Global cloud of existing data Raw data Selected & cleaned data Analysis results Evidence Insight + scholarly publication Presentation Impact = behavioural change

  12. All enrich pool of data Present Publish Embed Archive Evidence On Demand Find Acquire Prepare Access Data Clean Filter Transform Combine Data Normalise Analyse Review Compare Data andModels Global cloud of existing data

  13. Data-Intensive Research: The UK played a leading role; what will it do now?

  14. Principles • Research data support should be in harmony with evolving digital ecosystem • Increase investment in using data to balance investment in collecting it • Co-evolve research practices, new methods and their supporting software • Democratise research by improving education and access • Align foundational research, pioneering and support • Users of data need to be aware of costs and environmental impact Draft – still under development

  15. Recommendations • Stimulate new thinking in next generation of researchers • Invest in creating and sharing methods and software for exploiting data • Increase access and use by building ‘intellectual ramps’ and improved education • Invest in foundational research into data-intensive methods linked with the ‘field’ experience of use and support • Support an innovation to pioneering to supported facility life cycle Draft – still under development

  16. Possible DIR Actions • Run summer school/”bootcamp” on data-intensive research (DIR) • Open discussion workshop on UK DIR requirements, including UK ESFRI projects • Sandpit (cross RCUK & charities) initiating foundational research programme • Inject DIR into current Doctoral programmes + new ones – trickle down into rest of HEIs • Ensure that a proportion of UK research infrastructure is in services with Amdahl number ~1 or better • Establish broad coordination body to plan UK DIR software, service and international activity Draft – still under development

  17. Take home message Survival in the digital-data revolution depends on speed and appropriateness of adaptation

  18. www.nesc.ac.uk www.ogsadai.org.uk www.admire-project.eu ? Picture compositionbyLuke Humphrybased on prior art by Frans Hals www.omii.ac.uk 18 ADMIRE – Framework 7 ICT 215024

  19. Contact David De Roure dder@ecs.soton.ac.uk Carole Goble carole.goble@manchester.ac.uk Visit wiki.myexperiment.org

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