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clearScience
          dragging scientific communication
              into the information age



Brian M. Bot | Senior Scientist | Sage Bionetworks
Deception at Duke
“I will help you. Trust me.”
         - Anil Potti to Juliet Jacobs (pictured above)
open
open source
open data
open access
access2research
accessible
clear
research scandals represent
merely the extreme of a
continuum in the culture of
academic research
the status quo tolerates
 poor communication
 of findings                                                                        can
                                                                                   reproduce
                                                                                   partially


                                 can reproduce from                               6%
                                 processed data w/
                                 discrepancies
                                                                21%



                                                                                                               54%
                                                                                                                               cannot
                               can reproduce                    8%                                                             reproduce
                               w/discrepancies
                                                                        11%

                                                     can
                                                     reproduce in
                                                     principle




Ioannidis A. et al. Repeatability of published microarray gene expression analyses. Nature Genetics 41, 149-155 (2009) | doi:10.1038/ng.295
often what is in principle
                                                                                         reproducible, is not
                                                                                         practically reproducible

                                                                       208,294,724
                                                                       datapoints



                                                     124 pages
                                                     supplemental material

                                                                    ?? lines
                                                                    unobtainable source code

                                                                                          ?? version or architecture of
                                                                                          statistical analysis program (R)
                                                                                   enumerable R packages
                                                                                   and package dependencies

                                                                             key R package “ClaNC”
                                                                             no longer available


                                                                                               442 citations

unidentified publication
    ‣ from journal with 5 year impact factor of 28
    ‣ article freely available for download
    ‣ data freely available for download
how are we to move science forward

if we cannot understand what was done previously ?
Nature 483, 509 (29 March 2012) | doi:10.1038/483509a
let’s go back to basics
scientific method
  1. define a question

   2. gather information and resources (background research)

     3. form a hypothesis

       4. test hypothesis experimentally

         5. analyze experimental data

           6. draw conclusions based on data

             7. publish results

               8. retest (frequently done by other scientists)
7. publish results
infinite
          ...

 ∞
printed
                                                                  on paper



                                                 store on local
                                                 server
experimentally generate
data @ the bench or                                                      static html
from a clinical cohort                                                   representation




                                               accepted &
                                               digitally
                                               typeset
                                                                              static pdf
                                                                              representation
                          analyze on local
                          machine




                                                      sent to
     write a document                                 reviewers
                                                      as pdf
                                     rn   al
                            t to jou
                   s   ubmi
scientific claims

are being artificially uncoupled from

          science itself
science is hard
communication is hard
    (especially for scientists)
getting harder in an era of

  ‘BIG DATA’
clearScience
 re-imagining scientific communication

  allow consumption of content at a
    variety of levels of complexity
            and abstraction

    leverage (open) RESTful APIs
clearScience
            RESTful APIs

  allow users to reassemble an entire
         analysis environment
clearScience
     analysis environment

        ‣   hardware
        ‣   software
        ‣   data
        ‣   code
scientific communication
     needs to evolve
needs to evolve
along with science
make it easy to do

  good science
make it easy to do

  clearScience
Acknowledgements
Sage Bionetworks                               External Partners
David Burdick - Rockstar Engineer              Myles Axton - Nature Genetics

Stephen Friend - President and CEO             Phil Bourne - PLoS Computational Biology

Erich S. Huang - Director of Cancer Research   Josh Greenberg - Alfred P. Sloan Foundation

Mike Kellen - Director of Technology           Kelly LaMarco - Science Translational Medicine

                                               Ian Mulvaney - eLife Sciences

                                               Eric Schadt - Open Network Biology

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Bot Strata UK 2012-10-02

  • 1. clearScience dragging scientific communication into the information age Brian M. Bot | Senior Scientist | Sage Bionetworks
  • 3. “I will help you. Trust me.” - Anil Potti to Juliet Jacobs (pictured above)
  • 4.
  • 11. clear
  • 12. research scandals represent merely the extreme of a continuum in the culture of academic research
  • 13. the status quo tolerates poor communication of findings can reproduce partially can reproduce from 6% processed data w/ discrepancies 21% 54% cannot can reproduce 8% reproduce w/discrepancies 11% can reproduce in principle Ioannidis A. et al. Repeatability of published microarray gene expression analyses. Nature Genetics 41, 149-155 (2009) | doi:10.1038/ng.295
  • 14. often what is in principle reproducible, is not practically reproducible 208,294,724 datapoints 124 pages supplemental material ?? lines unobtainable source code ?? version or architecture of statistical analysis program (R) enumerable R packages and package dependencies key R package “ClaNC” no longer available 442 citations unidentified publication ‣ from journal with 5 year impact factor of 28 ‣ article freely available for download ‣ data freely available for download
  • 15. how are we to move science forward if we cannot understand what was done previously ?
  • 16. Nature 483, 509 (29 March 2012) | doi:10.1038/483509a
  • 17. let’s go back to basics
  • 18. scientific method 1. define a question 2. gather information and resources (background research) 3. form a hypothesis 4. test hypothesis experimentally 5. analyze experimental data 6. draw conclusions based on data 7. publish results 8. retest (frequently done by other scientists)
  • 20. infinite ... ∞
  • 21. printed on paper store on local server experimentally generate data @ the bench or static html from a clinical cohort representation accepted & digitally typeset static pdf representation analyze on local machine sent to write a document reviewers as pdf rn al t to jou s ubmi
  • 22. scientific claims are being artificially uncoupled from science itself
  • 24. communication is hard (especially for scientists)
  • 25. getting harder in an era of ‘BIG DATA’
  • 26. clearScience re-imagining scientific communication allow consumption of content at a variety of levels of complexity and abstraction leverage (open) RESTful APIs
  • 27. clearScience RESTful APIs allow users to reassemble an entire analysis environment
  • 28. clearScience analysis environment ‣ hardware ‣ software ‣ data ‣ code
  • 29.
  • 30. scientific communication needs to evolve
  • 31. needs to evolve along with science
  • 32. make it easy to do good science
  • 33. make it easy to do clearScience
  • 34. Acknowledgements Sage Bionetworks External Partners David Burdick - Rockstar Engineer Myles Axton - Nature Genetics Stephen Friend - President and CEO Phil Bourne - PLoS Computational Biology Erich S. Huang - Director of Cancer Research Josh Greenberg - Alfred P. Sloan Foundation Mike Kellen - Director of Technology Kelly LaMarco - Science Translational Medicine Ian Mulvaney - eLife Sciences Eric Schadt - Open Network Biology