Making research more efficient - IDCC '13

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Making research more efficient - IDCC '13

  1. 1. making research more efficient kaitlin thaney @kaythaney ; @digitalsci #idcc13, amsterdam
  2. 2. london bostonnew york tokyo
  3. 3. (3)
  4. 4. machines researchersdecision makers
  5. 5. machines researchersdecision makers
  6. 6. discovery is still sub-optimal.(an example in chemistry)
  7. 7. still the starting point
  8. 8. specific DBs no better (in this case, likely worse)
  9. 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. 10. streamline search
  11. 11. Link to other open chemistry resources
  12. 12. machines researchersdecision makers
  13. 13. our definition of“data” is changing. (or, at least, is long overdue to.)
  14. 14. CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  15. 15. CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  16. 16. protocolsparameterscalibration misc. lit
  17. 17. ordering + processingthe non-digital
  18. 18. use data to better optimise, enable(behaviour, productivity, reproducibility...)
  19. 19. T[citable, sharable, discoverable] ext
  20. 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. 21. a smarter, open alternative
  22. 22. topline data on figshare: bit.ly/11w7MnEhttp://www.nature.com/news/safety-survey-reveals-lab-risks-1.12121
  23. 23. machines researchersdecision makers
  24. 24. working on social problems using software
  25. 25. rewards, incentives the “why”
  26. 26. existing system is imperfect authority -> distributive ability to add context
  27. 27. administrators / funders as influencers drivers ofbehavioral change
  28. 28. changing models of authority ?
  29. 29. we’re battlingtradition, not just technology.
  30. 30. k.thaney@digital-science.com www.digital-science.com

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