
Records data like logs, expenditures, website hits, conference service usage
require little collection, since they are series that are routinely
registered. There is a cost, however, in extracting the data for use in
evaluations. The issue here is first determining when to extract data. Some
points are obvious. Data should be extracted at the outset of a period,
since they will define the baseline. Obviously, data will have to be
extracted at the point of the self-evaluation. If, however, trends are to be
mapped, you may want to specify more frequent intervals. It is possible,
depending on the structure of the registry, to extract the data only once,
at the end, and classify it by time. However, if this is likely to be
excessively cumbersome, it may be better to have periodic extractions.
The data can be extracted by the owner of the registry, or by the
self-evaluation team. This will depend on whether the database has
restricted access (as is likely to be the case with accounts) or whether it
is open (as in the case of manually entered logs). If it is to be extracted
by the owner of the database, this should be agreed in advance so that the
appropriate staff time can be set aside.
If the data are in electronic form, it may be possible to set up an
automatic process for extraction. This may only require a subroutine in the
underlying database programme or a regular extraction that might be
permitted by the programme. This would be clearly preferable to manual
extraction.