ScholarGate
Assistent
Process / pipelineLibrary collection assessment

Collection Overlap Analysis

Collection overlap analysis measures the degree to which two or more library collections hold the same titles, quantifying how much of each collection is shared, how much is unique, and how much in total the collections cover together. By treating holdings as sets and computing intersection, union, and overlap coefficients on matched identifiers such as ISBN, ISSN, or OCLC number, the method turns a vague sense of duplication into reproducible figures. These figures drive concrete decisions: where consortial partners can rely on one another, which titles are uniquely held and so must be preserved, and where duplicate purchasing or storage can be reduced. The technique is a workhorse of cooperative collection development and shared-print retention, summarized across the serials and collection-management literature including Nisonger's syntheses.

Åbn i MethodMindSnartAnvend, sammenlign, få vejledning
Værktøjer og ressourcer
Hent slides
Lær og udforsk
VideoSnart

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Metodekort

Nabolaget af beslægtede metoder — vælg en knude for at udforske.

Kilder

  1. Nisonger, T. E. (1998). Management of Serials in Libraries. Englewood, CO: Libraries Unlimited. ISBN: 9781563084782
  2. IFLA Section on Acquisition and Collection Development (2001). Guidelines for a Collection Development Policy Using the Conspectus Model. The Hague: IFLA. link

Sådan citerer du denne side

ScholarGate. (2026, June 23). Collection Overlap Analysis (Title Duplication and Uniqueness Assessment). ScholarGate. https://scholargate.app/da/library-information-science/collection-overlap-analysis

Hvilken metode?

Stil denne metode ved siden af dens nærmeste slægtninge, og læs dem side om side — biblioteket lægger bøgerne på bordet; valget er dit.

Sammenlign side om side

Refereret af

ScholarGateCollection Overlap Analysis (Collection Overlap Analysis (Title Duplication and Uniqueness Assessment)). Hentet 2026-06-24 fra https://scholargate.app/da/library-information-science/collection-overlap-analysis · Datasæt: https://doi.org/10.5281/zenodo.20539026