Analyzing Digital Collections Entrances: What Gets Used and Why It Matters

Biswas, Paromita; Marchesoni, Joel

doi:10.6017/ital.v35i4.9446

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…Other studies have used Web analytics to gauge the use of digital library and digital special collections and archives materials (Khoo et al, 2008;Szajewski, 2013). Biswas and Marchesoni (2016) used Google Analytics to identify which CONTENTdm digital collections from Hunter Library at Western Carolina University were viewed the most. The authors compared digital collections by calculating the number of item views for a collection as a percentage of the total number of views for all collections and the number of items in a collection as a percentage of the total number of items in all collections.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing large-scale digitization using Web analytics

Lapworth

2021

DLP

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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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Section: Literature Reviewmentioning

confidence: 99%

Assessing large-scale digitization using Web analytics

Lapworth

2021

DLP

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“…In comparison to Europeana or the NSDL, the DPLA is a new and evolving digital library system; research examining user information seeking and the use of the DPLA is still in the exploratory phase. Recent reports indicate that DPLA participating institutions are beginning to see an increased usage of their digital collections as a result of referrals from the DPLA portal (Biswas and Marchesoni 2016). However, there is no empirical research on user interaction with the DPLA.…”

Section: Use Studies Of Large-scale Dlsmentioning

confidence: 99%

User Navigation in Large-Scale Distributed Digital Libraries: The Case of the Digital Public Library of America

Matusiak

2017

Journal of Web Librarianship

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This article presents the findings of a case study that examined user navigation in a large-scale digital library in the context of academic use. Using the Digital Public Library of America as case, the study explored user navigation and understanding of a distributed model of large-scale digital libraries. The DPLA model involves two-or three-step navigation pathways. Most study participants could navigate the DPLA distributed, multi-layered system effectively. This study found some confusion among the participants when they had to move through a three-step process to locate digital objects provided by a metadata aggregator service hub. The study participants also pointed out the advantages of a distributed model in collocating digital resources and connecting users to a wide range of digital libraries.

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“…Additionally, monitoring usage of electronic items is an important goal of many user-centered collection development studies. Biswas and Marchesoni (2016) used Google Analytics to assess usage of their library's digital collections. A study conducted by Foote and Rupp-Serrano (2010) combined a survey with observation to look at user behavior regarding e-books in the geoscience discipline.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparing Advertising Agencies’ Resources to Academic Libraries’ Collections

Gilbert

Vaaler

2017

Behavioral & Social Sciences Librarian

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Collection development analysis in academic libraries typically involves collection-centered and user-centered methods. These approaches focus on building collections that help students with their academic needs but may overlook resources that students need experience with when employed. To address this gap, the authors analyzed early career advertising agency positions to identify a list of information resources that advertising agencies expect employees to use. This list was then compared against the library websites of 158 universities with advertising programs to see how sufficiently libraries are fulfilling these resource needs. The authors found that overall, university libraries only subscribe to a small number of resources used by advertising agencies.

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Analyzing Digital Collections Entrances: What Gets Used and Why It Matters

Cited by 9 publications

References 9 publications

Assessing large-scale digitization using Web analytics

Assessing large-scale digitization using Web analytics

User Navigation in Large-Scale Distributed Digital Libraries: The Case of the Digital Public Library of America

Comparing Advertising Agencies’ Resources to Academic Libraries’ Collections

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