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Uploaded byJean-Claude Bradley
Science Online 2011 ONS session
The document summarizes an open notebook science session discussing how open notebook science can lead to faster and better science. It mentions how open notebook science maintains data provenance by making assumptions explicit. Examples are given of how crowdsourcing solubility data and reaction attempts into Google spreadsheets and validating chemical information can help discover outliers and inconsistencies in data from different sources. Conclusions state that abstraction of open notebook experimental data into semantic formats can leverage the data utility while maintaining links back to the original notebooks.
