Uwe wrote:
>This is uncomfortable,
Your options are:
a) Use a tool that is known to cause , and will cause _all_ your data
results to be invalid. (A spreadsheet)
b) Learn a new tool. (A database.)
Pick option A, and explain to your oversight committee why your data is corrupt.
[At least the Human Genome Project got to publish a paper explaining
why 25% of their data was invalid. They couldn't tell you which 25%
it was, though.]
xan
jonathon
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