Siegfried
Schmitt has written an interesting article for BioPharm International, titled “Good
Documentation Practice: Saving Data for the Long Term.”
Here
is an extract:
“Laboratory
data may be in some proprietary format depending on the instrument on which
they were generated. If this is the case, consider how the data can be read in
years to come. It is neither practical nor feasible to maintain software
programs that would enable these data to be read. It is highly unlikely that
the software will still run on operating systems many years from now, nor will
there be many operators who would know how to use the software. A potential
solution may be to standardize the data, transferring it into a generic data
format.
A
key issue with archived data is maintaining a description or inventory of where
the data belongs. Just because a file is named ‘injection 01 29 Oct 2011,’ this
does not tell someone years from now that these data belong to the impurity
profile for a stability sample for product xyz in month three for an
accelerated study. How will you know what the data are, whether they are
complete, and who created them and when? This demonstrates that there is no
benefit in ‘dumping’ data in an archive--this must be done with the same
diligence needed for archiving a paper document.”
Posted by Dr. Tim Sandle
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