I am currently finishing the first stage of a research project that looks
at the problems of meeting the information needs of researchers in
highly interdisciplinary areas. At this point I am particularly interested in
the problems of journal selection/cancellation when the affected users
are NOT all part of an identifiable academic unit, or a single well-
established discipline.  My "playing field" is neural networks research, which
includes biology, medicine, psychology, various branches of engineering,
 physics (optics), computer science, mathematics, and philosophy
-- just to name a few of the major constituent disciplines -- and the paper
we just finished looked at some bibliometric measures of subject dispersion
in neural networks-related journals.  I would be interested in hearing from
any of you who have dealt with purchasing and/or weeding decisions in any
area that you would consider interdisciplinary or multidisciplinary -- what
your problems were and how you solved them (or if you solved them).

If there is sufficient interest, I will happily summarize for the list.

Kate McCain (Bibliometrics R Us)
College of Information Studies
Drexel University