Advances in Digital Scholarship


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Presentation at invited workshop "DIGITAL RESEARCH RESOURCES IN THE ARTS AND HUMANITIES - Achievements and Prospects for Future Collaboration" held at King’s College London, 25 July 2012

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  • CERN teams up with Leaders in Information Technology to build giant Data GridData accumulation rate: 10 Petabytes per year (equivalent to about 20 million CD-ROMs).
  • Advances in Digital Scholarship

    1. 1. Advances inDigital ScholarshipDavid De Roure
    2. 2. Research “on” the Web• Web as an infrastructure for research• Web as a source of data• Web as a subject of research• Web of scholarly discourse
    3. 3. ...the imminent flood of scientific data expected from the next generation of experiments, simulations, sensors and satellites Tony Hey and Anne Trefethen Source: CERN, CERN-EX-0712023,
    4. 4. BioEssays,, 26(1):99–105, January 2004
    6. 6. Structural Analysis of Large Amounts of Music Information 23,000 hours of Digital Music recorded music Collections Music Information Retrieval Community Student-sourced Community ground truth Software Supercomputer Linked Data Repositories
    7. 7.
    8. 8. PolicyGrid m Current Nodes Rural communities Demonstrators DE Hubs DAMES d & Sustainability ds Harnessing advances in digital Social Inclusion technology and practice to achieve world-class social highwire NeISS CQeSS Genesis s e-Social Scienceresearch with maximum impact m MoSeS m Obesity e-Lab ss HUB m DReSS Horizon DE DTCs Creative Industries Finance mm d MiMeG Healthcare Genesis Media OeSS GeoVUE mm eStat m d NCRM phase 3 Entertainment m Web Science ncrmLifeGuide NCRM phase 2
    9. 9. New York London Paris Moscow The Tweet-o-Meter
    10. 10. A A B B F + F + - C - E C E D D Theories of Theories of Theories of Self interest Exchange Balance A A B F B F C + C - + E E D D Novice Expert Theories of Theories of Theories ofCollective Action Homophily Cognition
    11. 11. Anatomy of an observatory Install Query Subscribe analyticData flows ongoing collection
    12. 12. 1 Web as lens 23 Web as artefact
    13. 13. Framework for ResponsibleResearch and Innovation in ICT
    14. 14. SOCIAMThe Theory and Practice of Social Machines
    15. 15. The order of social machinesReal life is and must be full of all kinds ofsocial constraint – the very processesfrom which society arises. Computerscan help if we use them to createabstract social machines on the Web:processes in which the people do thecreative work and the machine does theadministration… The stage is set for anevolutionary growth of new socialengines. Berners-Lee, Weaving the Web, 1999
    16. 16. An Example Social Machine• The Kenyan election on the 27th December 2007…• wave of riots, killings and turmoil…• African blogger Erik Hersman read a post by another blogger Ory Okolloh…• Resulted in Ushahidi…• “Nobody Knows Everything, but Everyone Knows Something.”• Local observers to submit reports using the Web or SMS messages from mobile phones
    17. 17. The Zooniverse principles1. Telling people about the Versus… purpose of the research • The Deficit model – the and about its context is a layperson is irrational, good thing ignorant, and even2. Treat participants as intellectually vacuous collaborators not as • Human-based computation subjects – a computer science3. Do not waste people’s technique in which a time computational process4. All volunteers, and their performs its function by contributions, are of equal outsourcing certain steps to value to the project humans
    18. 18. Some other machines?
    19. 19. Social Machines in ContextMore machines Big Data Social Big Compute Machines Conventional Social Computation Networking More people
    20. 20.
    21. 21.
    22. 22. The users of a website, the website, andthe interactions between them, togetherform our fundamental notion of a “machine”
    23. 23.  “Facebook for Scientists”  A probe into researcher ...but different to Facebook! behaviour A repository of research  Open source (BSD) Ruby on methods Rails app A community social network of  REST and SPARQL interfaces, people and things supports Linked Data A Social Virtual Research  Influenced BioCatalogue, Environment MethodBox and SysMO-SEEK myExperiment currently has 307 groups, 2494 workflows, 643 files and 250 packs - see
    24. 24. method data
    25. 25. Research repeat Record repeatMachine paper Machine REPRODUCE papersoftware softwareMachine Machine Software REPRODUCE OR REPEAT? paperworkflow workflow wf softwaresoftwareMachine Software Machine
    26. 26.
    27. 27. The Executable Thesis new data executable thesis PhD Student new results
    28. 28. Discussion• The underlying themes in this talk have been: – Web (co-constituted) – people (expert to lay) – computation (device to supercomputer) – automation / assistance – methods, reuse and value-add• These reflect significant trends in our “knowledge infrastructure”, and significant opportunities for digital humanities
    29. 29. credits: Christine Borgman, Ichiro Fujinaga, Noshir Contractor, MarinaJirotka, Nigel Shadbolt, Dave Robertson, Andrew Zisserman