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The Use of Value Engineering in the Evaluation and Selection of Digitization Projects

TitleThe Use of Value Engineering in the Evaluation and Selection of Digitization Projects
Publication TypeJournal Article
Year of Publication2007
AuthorsBoock, MH, Chau, M
JournalEvidence Based Library & Information Practice
Date Publishedsep
Type of ArticleArticle
KeywordsDigitization, digitization costs, selection, value engineering
AbstractObjective - The authors describe a simple and effective tool for selecting digitization projects from competing alternatives, providing decision makers with objective, quantitative data. Methods - The paper adopts the value engineering methodology for the selection, evaluation and ranking of digitization project proposals. Project selection steps are described. Selection criteria are developed. Digitization costs are presented as an equation. Project value is determined by calculating projected performance of digital collections based on the established criteria over cost. Results - Scenarios are presented that evaluate and rank projects based on an evaluation of performance criteria and cost. The communication and use of rating criteria provides selectors with information about how proposed collections are evaluated. The transparency of the process output is easily communicated to stakeholders. Conclusion - Value engineering methodology provides a tool and a process that gives decision makers a set of objective, quantitative data upon which selection of digitization projects is based. This approach simplifies the selection process, and creates transparency so that all stakeholders are able to see how a decision was made. {ABSTRACT} {FROM} {AUTHOR} Copyright of Evidence Based Library & Information Practice is the property of University of Alberta, Learning Services and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts)