Print Book Collection Review Project Objective Ensure that the Glucksman Library print book collection is vital, useful and relevant to current teaching and curricular needs Outcomes Listing of material in stock in each of the subject areas to aid ongoing retention and de-selection decisions Collection management processes established across library departments Data-driven future collection management decisions Establish standards for retention and deselection
Print Book Collection Review Project Creating a Dataset Data Extraction Parameters All Monographs Out of Scope for the Project: Periodicals E-books Recent Acquisitions Material in special sequences: HSM, Tourism, Law Reference
Special Collections What Data? Data extraction from LMS SQL and Spreadsheets 310,000 items in stock Bibliographic details title, author, publisher Usage: no of loans, renewals Newer editions, other copies Review and verify the data
Data Verification and Quality Shelf read of main library and store in stock items Verify data on system vs actual physical item Correct data call numbers, volumes Understand the data: last transaction date was not last loan date number of loans included renewals
Second extraction of data Multiple copies of textbooks deselected in addition to some copies of previous editions of books Missing items list updated and analysed ARC Implementation Project Objective To plan and implement the Automated Storage Retrieval System in the new Library building. Re-purpose data from the Print Book Collection Project Lesser-used items New LSP Alma merge new data with old
Initial load 0 loans in the library more than 15 years: 10,000 items Second load 10 or less loans, in the library more than 10 years: 30,000+ Library Re-Sequencing Project Objective To enable a straight Dewey sequence for material shelved in the existing library Law and Medicine moved to the new library building
Shelf count to determine number of books on the shelves in the existing building 30 books per shelf! Scenario planning using repurposed datasets to determine how many items to remove to enable a straight sequence Create a new dataset of Alma and Alto usage data to inform future decisions on sequences For the Future Continued use of datasets to inform collection development policies Identify gaps in the collection using approval plans to purchase updated and newly published material in
specific areas Update Medical Collection The ARC in action: https://vimeo.com/294407841/06398072a9 THANK YOU
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