[Wactclc-alma] Weeding reports

Wed Sep 2 12:47:21 PDT 2020

Yikes. As I recall it, North Seattle library is pretty spacious, so losing 2/3rds of that space is kind of a lot of shrinkage ☺

Let me know if you have any use-cases or scenarios that those reports don’t cover.

Meanwhile, I’ll working on collating these reports into a single ‘Weeding’ dashboard, similar to the IPEDS dashboard.

Seems like the major weeding data decision points are:

-time in collection (creation date)
-date published (begin date)
-last loan date (OR zero loans)
-total number of loans (ie, popularity)
-duplication (at the title or item level)

We’ve touched on in the recent threads and conversations.

Another one is general collection aging by subject area, which we’ve talked about in the past. That one is covered in the Collection Aging analysis in the IPEDS dashboard.

‘Relevance’ would be another one, which publication date and loan counts sort of get at.

Something like ‘citing frequency’ would be better, but bib records don’t carry that info ☺ If you could run your OCLC #’s, or ISBNs, through some kind of ‘relevancy’ or ‘quality’ ranking service, that would be pretty neat. wouldn’t be a bad idea for a value-added service, if it hasn’t been done already ☺

‘Price’ might be something to look at. If you paid an awful lot for something, maybe it’s valuable to someone else, even if you don’t want it in your own collection.

Maybe duplication across subjects (subject headings)? ie, looking at titles that cover very similar material?

Wade Guidry
WACTCLC
Library Consortium Services Manager
wadeg at bigbend.edu<mailto:wadeg at bigbend.edu>
http://www.wactclc.org<http://www.wactclc.org/>
509.760.4474

Pronouns: he/him/his

From: Wactclc-alma [mailto:wactclc-alma-bounces at lists.ctc.edu] On Behalf Of Thomas, Kirsti
Sent: Wednesday, September 2, 2020 12:23 PM
To: WACTCLC Alma Discussion <wactclc-alma at lists.ctc.edu>
Subject: Re: [Wactclc-alma] Weeding reports

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Wade,

Thanks for creating these. :)

The library at North Seattle is moving into temporary digs for a multi-year period while their building undergoes a major capital-budget renovation.  The temporary space is going to be about 1/3 the size of what they've got now so they have a big weeding and storage project in their future.  These reports will be a huge help.

Kirsti S. Thomas
Library Technical Service Manager
Seattle Colleges
kirsti.thomas at seattlecolleges.edu<mailto:kirsti.thomas at seattlecolleges.edu>

From: Wactclc-alma <wactclc-alma-bounces at lists.ctc.edu<mailto:wactclc-alma-bounces at lists.ctc.edu>> On Behalf Of Guidry, Wade
Sent: Wednesday, September 2, 2020 09:47
To: WACTCLC Alma Discussion <wactclc-alma at lists.ctc.edu<mailto:wactclc-alma at lists.ctc.edu>>
Subject: [Wactclc-alma] Weeding reports

Based on Coleen’s recent weeding use-cases, I’ve created 3 weeding reports in the WACTCLC analytics consortium folder:

/shared/Community/Reports/Consortia/WACTCLC/Weeding

The reports are:

Titles with Multiple Material Types

A list of titles with multiple material types attached.

Includes locations, but does not include the associated material types, just the fact that a title has more than one material type.

There are more sophisticated ways of doing this (pivot tables, more complex formulas).

But this is the simplest way to get to a usable list for most use-cases.

Weeding report based on last loan date and creation date

This analysis finds items that have not circulated since a certain date (or at all), and that were created prior to a certain date.

You can adjust the analysis by adjusting the dates in the filters.

Titles with electronic portfolios and physical items

This analysis identifies title records containing both electronic portfolios and physical items.

This analysis looks for electronic portfolios and physical items on the same title record.

If that is not your cataloging practice, this analysis will not find anything

Duplicate or the Same Titles with Electronic Portfolios AND Physical Items

If you suspect you have duplicate titles with some combination of electronic portfolios and physical items, you can try this analysis.

This analysis uses multiple subject areas (title, e-inventory, physical item) in an attempt to identify title records with some combination of portfolios and items across those duplicated titles.

Like the analysis above, this one may not find anything, depending on your cataloging practices.

Wade Guidry
Library Consortium Services Manager, WACTCLC
wadeg at bigbend.edu<mailto:wadeg at bigbend.edu>
(509) 760-4474
http://www.wactclc.org<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.wactclc.org%2F&data=02%7C01%7C%7C7eb19eafab604f4f071308d84f5fd402%7C02d8ff38d7114e31a9156cb5cff788df%7C0%7C0%7C637346620298569518&sdata=mMuIaWD0wu2cxOuunWsv3pbiHHtt2yiBMm8a%2BiGgEec%3D&reserved=0>

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