1. What was the user's initial question?
Example: I
want to find articles on cost estimation and construction management.
Articles like you find in the journals: Journal of Management
and Journal of Construction Engineering Management.
2. What additional information did you ask from the user?
Example:
Is he a graduate student? Yes, Had he looked in any databases yet? No
3. What was the thought process you used to recommend a database? Please be
as specific as possible.
Example: As soon as he asked the question I knew it was a multidisciplinary
database question and that I would probably be recommending more than one
database.
My first thoughts were to recommend one engineering and one business database,
most likely Compendex and ABI Inform. First, though, I wanted to see where
these journals he mentioned were indexed. I knew the second one was an American
Society of Civil Engineers journal - which would be indexed in Compendex.
The first one I looked up in Ulrich's and sure enough, it is indexed in ABI
Inform.
4. What did you recommend to the user? Why?
Example: I recommended Compendex and ABI Inform and explained that his research
is multidisciplinary in terms of what the databases cover. I also showed him
the
Ulrich's pages
and explained that any of a number of databases could work and that if he didn't
have success with these two, he could try some of the other ones. I also told
him that if he wasn't finding anything to stop by the desk again (he was going
to start searching right away) and we would dig a little further.
5. Did it satisfy the user's need for a database(s)?
Example: Yes - he found some articles he could
use for his project.
6. Any other thoughts about your recommendation to the user relevant to a database
discovery tool?
Example: Yes - It must be possible to select more than one subject area
at a time in order to cover these multidisciplinary areas.