Many sciences rely on observation instead of (or in addition to) designed ex- periments. Compare the data quality issues involved in observational science with those of experimental science and data mining.
What will be an ideal response?
Observational sciences have the issue of not being able to completely control
the quality of the data that they obtain. For example, until Earth orbit-
9
ing satellites became available, measurements of sea surface temperature re-
lied on measurements from ships. Likewise, weather measurements are often
taken from stations located in towns or cities. Thus, it is necessary to work
with the data available, rather than data from a carefully designed experi-
ment. In that sense, data analysis for observational science resembles data
mining.
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