Synthetic Biology Data Hazard: Uncertain Accuracy of Source Data#
Description#
The accuracy of the underlying data is not known and so its use may lead to erroneous results or introduce bias.
Examples#
Example 1: Metabolic modelling where inaccurately labelled conversions (e.g. due to computational prediction) might lead to unexpected products being produced by engineered pathways.
Safety Precautions#
Attempt to classify uncertainty if possible to better inform decisions and understand the range of possible outcomes.