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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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Curator: Susan Slavney
NASA Official: Raymond E. Arvidson
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