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Modelling shelf space with catalogue metadata Joe Nankivell, UCD

Modelling shelf space with catalogue metadata Joe Nankivell, UCD. The problem. Space management: a recurring theme. But no detailed data on how much space our stock takes up. Two existing approaches: 1) Measure shelves (e.g. 2011 CONUL storage project)

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Modelling shelf space with catalogue metadata Joe Nankivell, UCD

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  1. Modelling shelf space with catalogue metadata Joe Nankivell, UCD

  2. The problem Space management: a recurring theme. But no detailed data on how much space our stock takes up. Two existing approaches: 1) Measure shelves (e.g. 2011 CONUL storage project) - difficult and time-consuming to obtain - zero granularity 2) Use a benchmarked average (e.g. 36 books/metre, SCONUL) - usually overestimates - no nuance MARC record doesn’t include width… if only!

  3. Proposal Could the metadata give us any useful proxies? • Number of pages ✓ • Binding ✘ Any other factors? • Year of publication ✓ • Height ✓ Study the influence of these factorson shelf occupancy

  4. Scoping and preliminaries • Literature review: no work already done on this • But Wootton (1977: 22) measured the thickness of 1,250 books: a starting point, 15 pages/mm. • I conducted preliminary measurements of 20 shelves (c.800 items) • Measured shelf occupancy in mm • Scanned barcodes of all items on each shelf • Downloaded MARC data for items • Used Wootton figure to create a model OK, but not granular enough.

  5. MARC 300 cleanup Convert text to data MARC 300 (subfield a) Total Pages 76p. 76 xviii, 342p. 360 ix, (1), cxxiii, 300 p., [6] plates 439 x, 426, A1-A26p. 462 xxvi,p309-584,[xv] 301 2v.(xx,964(i.e.965),(6)p,(10)leaves of plates ??? There again: 2v. ? 1 volume ?

  6. Data collection, phase 2 • Randomised selection of 100 shelves (3000+ items) • Logged shelf details (location, occupancy in mm) • Scanned every item on shelf, recording: Binding (cloth or paperback) Width in mm Height in cm Shelf ID • Pulled catalogue data using scanned barcodes. • Cleaned up MARC 300 Total granularity!

  7. Dataset Gathered from shelves From catalogue, matched on barcode

  8. A small digression…

  9. Bookshelf visualiser Actual measurements

  10. Bookshelf visualiser Estimated measurements

  11. Bookshelf visualiser Compare estimate with true width

  12. Bookshelf visualiser Identify problem areas in data 251mm thick, should be 24.6mm: Typo in MARC 300 Way oversized: formula fails with high pagination Way undersized: formula doesn’t yet take volumes with no pagination into account

  13. Try out the app to follow developments and view code: https://nankj.github.io/MARC-300-visualiser/ Thank you!

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