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The Informatics Transform: Re-engineering Libraries for the Data Decade Dr Liz Lyon, Associate Director, UK Digital Curation Centre Director, UKOLN, University of Bath, UK VALA2012, Melbourne, Australia. This work is licensed under a Creative Commons Licence Attribution-ShareAlike 2.0.

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  1. The Informatics Transform: Re-engineering Libraries for the Data Decade Dr Liz Lyon, Associate Director, UK Digital Curation Centre Director, UKOLN, University of Bath, UK VALA2012, Melbourne, Australia This work is licensed under a Creative Commons LicenceAttribution-ShareAlike 2.0 UKOLN is supported by:

  2. “Data is the new oil.” Andreas Weigend, Stanford (ex Amazon) “The future belongs to companies and people that turn data into products” Mike Loukides, O’Reilly Media

  3. http://www.google.co.uk/imgres?q=illumina+bgi&hl=en&client=firefox-a&hs=Jl2&rls=org.mozilla:en-GB:official&biw=1366&bihhttp://www.google.co.uk/imgres?q=illumina+bgi&hl=en&client=firefox-a&hs=Jl2&rls=org.mozilla:en-GB:official&biw=1366&bih Data... http://www.flickr.com/photos/thinkmulejunk/352387473/ http://www.flickr.com/photos/charleswelch/3597432481// http://www.flickr.com/photos/wasp_barcode/4793484478/ http://www.flickr.com/photos/usfsregion5/4546851916//

  4. Oceans: last unmapped frontier? http://www.wired.com/wiredscience/2011/09/ocean-sensor-network/ http://bohemianadventures.blogspot.com.au/2010/06/bering-sea-day-1-dutch-harbor.html

  5. ..using personal datafor research

  6. Share your genome data? • Buy a DTC kit • Join a project

  7. In a recent 2011 survey, Nature asked its readers whether they had, or would consider, a genome analysis (n=1588) Have not/would not 15% Not sure 13% Would if given the opportunity 54% 18% Have had genome analysis

  8. Consumer data…

  9. One in every nine people on Earth is on Facebook 30billion pieces of content are shared on Facebook each month People upload 3000images to Flickr every minute Google+ has > 25million users From 20 Social Media Statistics (Jeffbullas)

  10. …and conversations http://www.touchagency.com/free-twitter-infographic/

  11. “Data is the new oil.” Andreas Weigend, Stanford (ex Amazon) Data is more like soup – its messy and you don’t know what’s in it….

  12. Kyle Machulis “DIY” Human physiology data http://www.technologyreview.com/biomedicine/37784/

  13. “Herculean” and “Heroic” Particle physics data

  14. “Crowd-sourced” astronomy

  15. Researchers need help to manage their data. This is a really exciting opportunity for libraries…..

  16. with a bit of re-engineering http://www.flickr.com/photos/49397559@N02/5899381202/

  17. 1. Leadership (Getting attention…)

  18. Six reasons why you should care about managing your research data

  19. 1. Risk: where is your data? Photo credits: Harvey Rutt http://www.ecs.soton.ac.uk/regenesis/pictures/

  20. 2. Reputation : data access, FOI

  21. 3. Quality: data gold standard http://www.sciencemag.org/content/334/6060/1226.full.html

  22. 4. Scale: an explosion of data http://www.phgfoundation.org/reports/10364/ “A single sequencer can now generate in a day what it took 10 years to collect for the Human Genome Project”

  23. 5.Partnerships Alzheimer’s Disease Neuroimaging Initiative: a unique (open) $60M partnership between NIH, FDA, universities and drug companies. “It was unbelievable. Its not science the way most of us have practiced in our careers. But we all realised that we would never get biomarkers unless all of us parked our egos and intellectual property noses outside the door and agreed that all of our data would be public immediately.” Dr John Trojanowski, University of Pennsylvania

  24. 6. Funding EPSRC expects all those institutions it funds • to develop a roadmap that aligns their policies and processes with EPSRC’s expectations by 1st May 2012; • to be fully compliant with these expectations by1st May 2015. http://www.epsrc.ac.uk/about/standards/researchdata/Pages/expectations.aspx

  25. Awareness of regulatory environment • Data access statement • Policies and processes • Data storage • Structured metadata descriptions • DOIs for data • Securely preserved for a minimum of 10 years

  26. Sticks …and Carrots http://www.cartoonstock.com/lowres/csl4846l.jpg http://www.flickr.com/photos/darshan-shah/6237564870/

  27. 2. Research Data Management services(Providing tools & support)

  28. Understanding Data Requirements http://www.dcc.ac.uk/

  29. Data management plans

  30. Advocacy & Training • Informatics: disciplinary metadata schema, standards, formats, identifiers, ontologies • Storage: file-store, cloud, data centres, funder policy • Access: embargoes, FOI

  31. What data to keep How to cite data

  32. Data Licensing • Bespoke licences • Standard licences • Multiple licensing • Licence mechanisms

  33. Tools to track impact http://total-impact.org/

  34. Research360@Bath • Partnership approach • UKOLN-DCC • Library • IT services • Research Support Office • Doctoral Training Centres http://blogs.bath.ac.uk/research360/

  35. Partnership approach • Library & institutional stakeholders • Roles (7 listed) • Responsibilities • Requirements • Relationships Liz Lyon, Informatics Transform, Ariadne Issue 68, 2012

  36. Director IS/CIO/University Librarian Data librarians /data scientist /liaison/subject/faculty librarians Repository managers IT/Computing Services Research Support/Innovation Office Doctoral Training Centres PVC Research Data roles Liz Lyon, Informatics Transform, Ariadne Issue 68, 2012

  37. Full mapping : Informatics Transform, Ariadne Issue 68, 2012

  38. 3. Developing data informatics capacity & capability(Acquiring the skills….)

  39. RLUK/Mary Auckland: Reskilling for Research 9 areas are skill gaps for subject librarians Sheila Corrall: Libraries, Librarians and Data Many action exemplars 2012: Libraries in review

  40. Data from RLUK/Mary Auckland: Reskilling for Research 2012

  41. Pause for reflection…. • Skills shortage for data informatics? • Reposition LIS curriculum? • LIS entry requirements? • Get credit for informatics work? Lyon, Informatics Transform, Ariadne 2012

  42. Play for action…. • Define core components of data informatics • Visualisation e.g. VisTrails • Workflow e.g. Taverna • Analysis e.g. R Lyon, Informatics Transform, Ariadne 2012

  43. “Very few librarians are likely to have specialist scientific or medical knowledge - if you train as a research scientist or a medic, you probably won’t become a librarian.” RLUK/Mary Auckland: Reskilling for Research 2012

  44. Play for action…. • Analyse LIS entry qualifications & increase STEM entrants • Target • Biologists • Chemists • Mathematicians Lyon, Informatics Transform, Ariadne 2012

  45. Let’s get together

  46. Play for action…. • International Data Informatics Working Group to explore promotion, recognition & reward • Global awareness campaign • Career incentives • Benchmark good practice Lyon, Informatics Transform, Ariadne 2012

  47. Data journalist? Data artist?

  48. Implications of “Big Data” and data science for organisations in all sectors Predicts a shortage of 190,000 data scientists by 2019 http://www.mckinsey.com/Insights/MGI/Research/Technology_and_Innovation/Big_data_The_next_frontier_for_innovation

  49. “Big Data” Data scientist Data Science Revealed community survey http://www.emc.com/collateral/about/news/emc-data-science-study-wp.pdf

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