ACRL Trust in Science Talk

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Jean-Claude Bradley presents at the Association of College and Research Libraries on March 31, 2011 on "Is there a role for Trust in Science".

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ACRL Trust in Science Talk

  1. 1. Is there a role for trust in science?<br />Association of College and Research Libraries<br />Jean-Claude Bradley<br />Department of Chemistry<br />Drexel University<br />March 31, 2011<br />
  2. 2. The Chemical Information Validation Sheet <br />567 curated and referenced measurements from <br />Fall 2010 Chemical Information Retrieval course<br />
  3. 3. The Chemical Information Validation Explorer <br />(Andrew Lang)<br />
  4. 4. Discovering outliers for melting points (stdev/average)<br />
  5. 5. Investigating the m.p. inconsistencies of EGCG<br />
  6. 6. Investigating the m.p. inconsistencies of cyclohexanone<br />
  7. 7. Sigma-Aldrich, Acros and Wolfram Alpha apparently use the same sources for melting points<br />
  8. 8. Sigma-Aldrich, Acros and Wolfram Alpha apparently use the same sources for boiling points<br />
  9. 9. Sigma-Aldrich, Acros and Wolfram Alpha apparently <br />DO NOT use the same sources for flash points<br />
  10. 10. Most popular data sources<br />
  11. 11. Alfa Aesar donates melting points to the public<br />
  12. 12. Open Melting Point Explorer<br />
  13. 13. Outliers<br />MDPI <br />dataset<br />EPI (via ChemSpider)<br />
  14. 14. Outliers<br />Alfa Aesar<br />
  15. 15. Inconsistencies and SMILES problems within MDPI dataset<br />
  16. 16. MDPI Dataset labeled with High Trust Level<br />
  17. 17. Open Melting Point Datasets<br />
  18. 18. Open Random Forest modeling of Open Melting Point data using CDK descriptors<br />(Andrew Lang)<br />R2 = 0.78, TPSA and nHdon most important<br />
  19. 19. Melting point prediction service<br />
  20. 20. Using melting point for temperature dependent solubility prediction<br />
  21. 21. Motivation: Faster Science,Better Science<br />
  22. 22. There are NO FACTS, <br />only measurements embedded within assumptions<br />Open Notebook Science maintains the integrity of data provenance by making assumptions explicit<br />
  23. 23. TRUST<br />PROOF<br />
  24. 24. Strategy for an Open Notebook:<br />First record then abstract structure<br />In order to be discoverable use Google friendly formats (simple HTML, no login) <br />In order to be replicable use free hosted tools (Wikispaces, Google Spreadsheets)<br />
  25. 25. Crowdsourcing Solubility Data<br />
  26. 26. Data provenance: <br />From Wikipedia to…<br />
  27. 27. …the lab notebook and raw data<br />
  28. 28. The importance of raw data availability<br />Missed in a prior publication on solubility for this compound<br />
  29. 29. Solubilities collected in a Google Spreadsheet<br />
  30. 30. Rajarshi Guha’s Live Web Query using Google Viz API<br />
  31. 31. Web services for summary data<br />(Andrew Lang)<br />
  32. 32. Web service calls from within a Google Spreadsheet for solubility measurement and prediction<br />(Andrew Lang)<br />
  33. 33. Integration of Multiple Web Services to Recommend Solvents for Reactions<br />(Andrew Lang)<br />
  34. 34.
  35. 35.
  36. 36.
  37. 37. Reaction Attempts Book<br />
  38. 38. Reaction Attempts Book: Reactants listed Alphabetically<br />
  39. 39. ONS Challenge Solubility Book cited for nanotechnology application<br />
  40. 40. Lulu.com Data Disks<br />
  41. 41. All ONS web services <br />
  42. 42. Dynamic links to private tagged <br />Mendeley collections<br />(Andrew Lang)<br />
  43. 43. For all Formats of ONS Projects<br />
  44. 44. Conclusions<br /><ul><li>Trust has no role in science and is unnecessary if sufficient proof is provided
  45. 45. The peer-reviewed system is critical but insufficient to communicate all available actionable scientific information</li>

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