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Ten Simple Rules for Changing How Scholars Communicate

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National Information Standards Organization (NISO) Virtual Conference Sept. 23, 2015

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Ten Simple Rules for Changing How Scholars Communicate

  1. 1. Ten Simple Rules for Changing How Scholars Communicate Philip E. Bourne, PhD, FACMI Associate Director for Data Science National Institutes of Health September 23, 2015
  2. 2. History & Lets Crowd Source? http://www.ploscollections.org/article/browse/issue/info%3Adoi%2F10.1371%2Fissue.pcol.v03.i01 2.6 million downloads
  3. 3. Rule 1 Figure Out the Flow & Go With It (Aka Leverage What is Already Happening)
  4. 4. One Obvious Change
  5. 5. We are at a Point of Deception …  Evidence: – Google car – 3D printers – Waze – Robotics – Sensors From: The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies by Erik Brynjolfsson & Andrew McAfee
  6. 6. Example - Photography Digitization Deception Disruption Demonetization Dematerialization Democratization Time Volume,Velocity,Variety Digital camera invented by Kodak but shelved Megapixels & quality improve slowly; Kodak slow to react Film market collapses; Kodak goes bankrupt Phones replace cameras Instagram, Flickr become the value proposition Digital media becomes bona fide form of communication
  7. 7. Are We Being Deceived? The 6D Exponential Framework Digitization Deception Are We Here? Disruption Demonetization Dematerialization Democratization Open science Free & Usable Knowledge
  8. 8. Rule 2 Recognize Thus Far That Open Access Has Been a Disappointment http://mujeresdelsiglo21.com/wp-content/uploads/2013/07/little-girl-crying-1280x800.jpg
  9. 9. Rule 2 OA Disappointment  Access has improved; leveraging the content only marginally?  The profits of closed access journals has increased – presumably at the cost of more scholarship?  The system is still broken – OA has not fundamentally changed how scholars communicate
  10. 10. Rule 3 “Still Crazy After All These Years” Not Paul Simon But Ten Years After
  11. 11. 1. A link brings up figures from the paper 0. Full text of PLoS papers stored in a database 2. Clicking the paper figure retrieves data from the PDB which is analyzed 3. A composite view of journal and database content results Here is What I Want – The Paper As Experiment 1. User clicks on thumbnail 2. Metadata and a webservices call provide a renderable image that can be annotated 3. Selecting a features provides a database/literature mashup 4. That leads to new papers 4. The composite view has links to pertinent blocks of literature text and back to the PDB 1. 2. 3. 4. PLoS Comp. Biol. 2005 1(3) e34
  12. 12. Rule 4 Value the Right Things
  13. 13. The Google Bus
  14. 14. Rule 5 Data Are Scholarship
  15. 15. Data Are Scholarship * http://www.cdc.gov/h1n1flu/estimates/April_March_13.htm Jan. 2008 Jan. 2009 Jan. 2010Jul. 2009Jul. 2008 Jul. 2010 1RUZ: 1918 H1 Hemagglutinin Structure Summary page activity for H1N1 Influenza related structures 3B7E: Neuraminidase of A/Brevig Mission/1/1918 H1N1 strain in complex with zanamivir [Andreas Prlic]
  16. 16. Rule 6 Software is Scholarship
  17. 17. Rule 7 Its Important to be FAIR https://www.force11.org/group/fairgroup/fairprinciples
  18. 18. BD2K Center BD2K Center BD2K Center BD2K Center BD2K Center BD2K Center DDICC Software Standard s Infrastructure - The Commons Labs Labs Labs Labs
  19. 19. Rule 8 Recognize New Levers When You See Them
  20. 20. Rule 8 Lever: Preprint Servers http://biorxiv.org/content/early/2015/07/11/022368
  21. 21. Rule 8 Lever: Reproducibility  I can’t immediately reproduce the research in my own laboratory: • It took an estimated 280 hours for an average user to approximately reproduce the paper • Workflows are maturing and becoming helpful • Data and software versions and accessibility prevent exact reproducibility Daniel Garijo et al. 2013 Quantifying Reproducibility in Computational Biology: The Case of the Tuberculosis Drugome PLOS ONE 8(11) e80278 .
  22. 22. Rule 9 Its About The Whole Research Life Cycle
  23. 23. The Research Lifecycle IDEAS – HYPOTHESES – EXPERIMENTS – DATA - ANALYSIS - COMPREHENSION - DISSEMINATION Authoring Tools Lab Notebooks Data Capture Software Analysis Tools Visualization Scholarly Communication Commercial & Public Tools Git-like Resources By Discipline Data Journals Discipline- Based Metadata Standards Community Portals Institutional Repositories New Reward Systems Commercial Repositories Training
  24. 24. The Research Lifecycle IDEAS – HYPOTHESES – EXPERIMENTS – DATA - ANALYSIS - COMPREHENSION - DISSEMINATION Authoring Tools Lab Notebooks Data Capture Software Analysis Tools Visualization Scholarly Communication Commercial & Public Tools Git-like Resources By Discipline Data Journals Discipline- Based Metadata Standards Community Portals Institutional Repositories New Reward Systems Commercial Repositories Training
  25. 25. Rule 10 Prove Me Wrong So remember, when you're feeling very small and insecure How amazingly unlikely is your birth And pray that there's intelligent life somewhere up in space 'Cause there's bugger all down here on Earth Monty Python - Galaxy Song Lyrics | MetroLyrics
  26. 26. NIHNIH…… Turning Discovery Into HealthTurning Discovery Into Health philip.bourne@nih.gov https://datascience.nih.gov/

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