This article is a case study of how six digitization competencies were developed and disseminated via grant-funded digitization projects at the University of Nevada, Las Vegas Libraries Special Collections and Archives. The six competencies are project planning, grant writing, project management, metadata, digital capture, and digital asset management. The authors will introduce each competency, discuss why it is important, and describe how it was developed during the course of the grant project, as well as how it was taught in a workshop environment. The differences in competency development for three different stakeholder groups will be examined: early career grant staff gaining on-the-job experience; experienced digital collections librarians experimenting and innovating; and a statewide audience of cultural heritage professionals attending grant-sponsored workshops.

Advances in digital image capture technology and the adoption of More Product, Less Process methods have resulted in special collections and archives large-scale digitization that creates a new kind of digital surrogate. Mirroring and reusing aggregate archival arrangement and description, these digital surrogates represent multiple items and are minimally described as a whole. The authors conducted interviews to explore user reactions to this digitization method at the University of Nevada, Las Vegas. This study found that large-scale digitization does have a positive impact for users, although additional strategies may be required to maximize the usefulness of the resulting digital objects.

Purpose The purpose of this study is to assess the use of digital collections created via the large-scale digitization of archival collections. The large-scale digitization method specifically examined is the reuse of archival description from finding aids to create digital collections that consist mainly of compound digital objects, equivalent to a folder of items, minimally described at the aggregate level. This paper compares Web analytics data for two large-scale digital collections and one digital collection with rich, item-level description. Design/methodology/approach This study analyzed one year of Web analytics for three digital collections. The main research question of this study is: Are digital collections of minimally described compound objects used less than digital collections of richly described single objects? Findings This study found that the large-scale digital collections analyzed received less use than the traditional item-level collection, when examined at the item level. At the object level, the large-scale collections did not always receive less use than the traditional item-level collection. Research limitations/implications This study is limited to three different digital collections from one institution. Web analytics also represent a limited interpretation of “use.” Practical implications This study presents a method for other institutions to assess their own large-scale digitization efforts and contributes to the profession’s understanding of the impact of large-scale digitization. Originality/value This paper is unique because it uses Web analytics to compare the use of large-scale digital collections to the use of traditional boutique digital collections.

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