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Suggestions for
Checking Interpretability The data are interpretable
if they are sufficiently documented to be
not only understood, but either further
reduced or used to derive some scientific
result. Consequently, attempting to derive
some scientific result is probably the best
way to test this. For example, you might try
something like one of these:
- Generate a plot or graph of the primary
datum. Are the magnitudes, features and axis
values reasonable?
- Attempt to calibrate a primitive image.
Were the necessary flat fields, etc.,
available?
- Display an image. Does the appearance
reflect the documented pointing and state of
reduction?
- Attempt photometry or astrometry. Was it
possible to derive meaningful results? Were
they consistent internally? With external
references?
- Compare the data in this data set with a
similar published data set. Do they agree?
If not, is there an explanation included in
the documentation?
Problems that arise during this process should be
directed to the discipline node so that they may be
addressed at the review.
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