Organization Monkey

We’re in the midst of gathering the usage statistics for our electronic journal collection.  Our titles are mixed in with the rest of USC’s electronic journals.  Here’s how we’re extricating our titles from the giant list of subscribed journals.

1. Pulled COUNTER Journal Report 1 stats from 13 vendors/aggregators.
2. Deleted all header information from each report, leaving behind title, publisher, gateway, print issn, e-issn, and a column for each month (july 07-june 08)
3. Compiled all reports into one giant Excel file.
4. Pulled our title list from our in-house electronic resource database into an Excel file, added 16 columns after each title, with each cell containing HSL, coloring all cells pink.
5. Merged our title list into the giant Excel file, sorted by title.
6. We’re now going through this 15,000 row file, line by line, title matching.  If there is a row with usage statistics that matches a pink row, we keep the statistics.  If there is no match that means the title belongs to the main campus library, and we discard it from our count (i.e., delete the row).
7. At the end we should have a file of statistics that we can then sum, giving us a total number of successful PDF downloads for our fiscal year.

Why are we causing ourselves so much pain, going through the titles like this? We initially looked for a join feature but there aren’t any fields that match consistently enough to merge the files automatically (not all titles are entered the same way, not all titles have print or e-issns, etc.). We subscribe to a commercial electronic resource management system that does not allow for ‘ownership’ to be identified in their system, so our titles are mixed in with the main campus titles without a way to distinguish who bought what. This time consuming process is the only way we can think to gather our data. I’m posting this with the hope that a reader will have a suggestion for us. We’re willing to experiment!