Jean-Claude Bradley presents on October 9, 2009 at the Northeastern Regional Meeting of the American Chemical Society in Hartford. This talk, entitled "Leveraging Transparency and Crowdsourcing in Chemistry Using Open Notebook Science", was part of a symposium on Publishing and Promoting Chemistry in the Internet Age. It consists of an overview of Open Notebook Science with some new content on solubility prediction algorithms written by Andrew Lang and a few example of students taking a Chemical Information Retrieval class at Drexel University using research logs on a wiki to flesh out their projects.
Leveraging Transparency and Crowdsourcing in Chemistry Using Open Notebook Science
1. Leveraging Transparency and Crowdsourcing in Chemistry Using Open Notebook Science Jean-Claude Bradley October 9, 2009 Northeast Regional Meeting of the American Chemical Society Associate Professor of Chemistry Drexel University
11. There are NO FACTS, only measurements embedded within assumptions Open Notebook Science maintains the integrity of data provenance by making assumptions explicit
47. Solvent mixture and temperature: multidimensional solubility data Actual Data (4-nitrobenzaldehyde) From quadratic regression of 5D space Feeds DoSol Sheet the next points to measure to best cover the space
48. Understanding in addition to empirical modeling Missed in a prior publication on solubility for this compound