OLCCS18 annotated Machines first, humans second: on the importance of algorithmic interpretation of open chemistry data in the group OLCCSendmail at 2017-02-09T20:40:59

in reference to:

prime their customers to expect a certaindegree of noise, and the potentially poor state of theinformatics component is just one of the many failuremodes for experiments that are designed to use quan-tity to compensate for lack of quality.

OLCCS18 said:

If it has become the norm to accept data quality issues as par for the course, how or why would cheminfomatics ever evolve to a more mature level of data controls and consistency?

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