Making research more efficient - IDCC '13
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  • 1. making research more efficient kaitlin thaney @kaythaney ; @digitalsci #idcc13, amsterdam
  • 2. london bostonnew york tokyo
  • 3. (3)
  • 4. machines researchersdecision makers
  • 5. machines researchersdecision makers
  • 6. discovery is still sub-optimal.(an example in chemistry)
  • 7. still the starting point
  • 8. specific DBs no better (in this case, likely worse)
  • 9. name disambiguation103-90-2254-465-14-(Acetylamino)phenol4-13-00-01091 (Beilstein Handbook Reference)4-Acetaminophenol4-Hydroxyacetanilide4-Hydroxyanilid kyseliny octoveAcetamide, N-(4-hydroxyphenyl)-Acetamide, N-(p-hydroxyphenyl)-Acetanilide, 4-hydroxy-APAPN-(4-Hydroxyphenyl)acetamidN-(4-Hydroxyphenyl)acetamideN-(4-Hydroxy-phenyl)-acetamideN-(4-Hydroxyphényl)acétamideN-(4-Hydroxyphenyl)acetanilideN-(p-hydroxyphenyl)acetamideN-Acetyl-4-aminophenolN-Acetyl-p-aminophenol ... and the list goes on ...
  • 10. streamline search
  • 11. Link to other open chemistry resources
  • 12. machines researchersdecision makers
  • 13. our definition of“data” is changing. (or, at least, is long overdue to.)
  • 14. CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  • 15. CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  • 16. protocolsparameterscalibration misc. lit
  • 17. ordering + processingthe non-digital
  • 18. use data to better optimise, enable(behaviour, productivity, reproducibility...)
  • 19. T[citable, sharable, discoverable] ext
  • 20. Sigma Life Science This was the worst ordering experience of Labrat07 my career. The antibody was fake, causing my a 8 month loss to my research. NEVER again. Text
  • 21. a smarter, open alternative
  • 22. topline data on figshare: bit.ly/11w7MnEhttp://www.nature.com/news/safety-survey-reveals-lab-risks-1.12121
  • 23. machines researchersdecision makers
  • 24. working on social problems using software
  • 25. rewards, incentives the “why”
  • 26. existing system is imperfect authority -> distributive ability to add context
  • 27. administrators / funders as influencers drivers ofbehavioral change
  • 28. changing models of authority ?
  • 29. we’re battlingtradition, not just technology.
  • 30. k.thaney@digital-science.com www.digital-science.com