Discovery Layers and the Distance Student: Online Search Habits of Students

Mussell, Jessica; Croft, Rosie

doi:10.1080/1533290x.2012.705561

Cited by 15 publications

(9 citation statements)

References 10 publications

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“…Google Scholar is currently the tool most users first turn to when they need to carry out a literature search. This has been evidenced by numerous studies [6][7][8][9][10][11]. Bosman and Kramer's study is the most recent and large-scale study on the matter.…”

Section: Introductionmentioning

confidence: 92%

Google Scholar as a Data Source for Research Assessment

2019

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The launch of Google Scholar (GS) marked the beginning of a revolution in the scientific information market. This search engine, unlike traditional databases, automatically indexes information from the academic web. Its ease of use, together with its wide coverage and fast indexing speed, have made it the first tool most scientists currently turn to when they need to carry out a literature search. Additionally, the fact that its search results were accompanied from the beginning by citation counts, as well as the later development of secondary products which leverage this citation data (such as Google Scholar Metrics and Google Scholar Citations), made many scientists wonder about its potential as a source of data for bibliometric analyses. The goal of this chapter is to lay the foundations for the use of GS as a supplementary source (and in some disciplines, arguably the best alternative) for scientific evaluation. First, we present a general overview of how GS works. Second, we present empirical evidences about its main characteristics (size, coverage, and growth rate). Third, we carry out a systematic analysis of the main limitations this search engine presents as a tool for the evaluation of scientific performance. Lastly, we discuss the main differences between GS and other more traditional bibliographic databases in light of the correlations found between their citation data. We conclude that Google Scholar presents a broader view of the academic world because it has brought to light a great amount of sources that were not previously visible.

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Section: Introductionmentioning

confidence: 92%

Google Scholar as a Data Source for Research Assessment

2019

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“…A discovery layer's interface should conform to common design practices in other search tools (e.g., Google Scholar) so that users are able to transfer their experiences of other systems to the discovery layer. Since participants considered the facets of Primo as an important advantage, future studies of discovery layer systems could also focus on users' information seeking behavior with facets through empirical observation or transaction log analysis [12].…”

Section: Discussionmentioning

confidence: 99%

User-Centered Evaluation of a Discovery Layer System with Google Scholar

Zhang¹

2013

Design, User Experience, and Usability. Web, Mobile, and Product Design

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Discovery layer systems allow library users to obtain search results from multiple library resources and view results in a consistent format. The implementation of a discovery layer is expected to simplify users' workflow of searching for scholarly information. Previous studies on discovery layer systems focused on functionality and content, but not quality of search results from the user's perspective. The objective of this study was to obtain users' assessment of search results of a discovery layer system (Ex Libris Primo ®) and compare that with a widely used scholarly search tool (Google Scholar). Results showed that Primo's search results relevancy is comparable to Google Scholar, but it received significantly lower usability and preference ratings. A number of usability issues of Primo were also identified from the study. Results of the study are used to improve the interface of Primo and adjust relevancy ranking options. The empirical method of search results assessment and feedback collection used in this study can be extended to similar user-centered system implementation and evaluation efforts.

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“…-Estudios de usabilidad sobre aplicaciones en bibliotecas concretas (Fagan et al, 2012;Cassidy et al, 2014). -Análisis de su impacto sobre el uso de los recursos de las bibliotecas por parte de los usuarios (Kaufmann;Larsen;DeSalvo, 2012;Mussell;Croft, 2013). -Análisis de su impacto y recepción por parte de los profesionales de las bibliotecas (Boyer;Besaw, 2012;Kornblau;Strudwick;Miller, 2012).…”

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Servicios de descubrimiento basados en un índice centralizado: su expansión en las bibliotecas académicas españolas y futuras líneas de investigación

Yunta¹

2015

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Resumen: Los servicios de descubrimiento constituyen un elemento de innovación y modernización para las bibliotecas universitarias y de investigación. En los últimos años se ha producido una fuerte implantación de estas herramientas en España, con la nueva generación de estos sistemas, denominada habitualmente como web-scale discovery services, aunque resulta más significativo categorizarlas como index-based discovery services, servicios de descubrimiento basados en un índice centralizado. En la difusión de este modelo compiten especialmente las multinacionales ProQuest y Ebsco, ya que integran el software de recuperación con la distribución de bases de datos bibliográficas. Se valoran las razones del éxito de estos servicios, sus ventajas e inconvenientes, así como las líneas de investigación que están generando.Palabras clave: Servicios de descubrimiento; Opac; Interfaz de usuario; Bases de datos bibliográficas; Recuperación de información; Mercado de la información; Software bibliotecario.Abstract: Discovery services constitute an element of innovation and modernization for university and research libraries. In recent years their presence has become strong in Spain, with the new generation of these systems, commonly referred to as web-scale discovery services, although it is more meaningful to categorize them as index-based discovery services. The multinational companies ProQuest and Ebsco are especially competing in the dissemination of this model, as they integrate information retrieval software with the bibliographic databases they distribute. The reasons for the success of these services are evaluated, with their advantages and disadvantages, as well as the research lines they are generating.

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Discovery Layers and the Distance Student: Online Search Habits of Students

Cited by 15 publications

References 10 publications

Google Scholar as a Data Source for Research Assessment

Google Scholar as a Data Source for Research Assessment

User-Centered Evaluation of a Discovery Layer System with Google Scholar

Servicios de descubrimiento basados en un índice centralizado: su expansión en las bibliotecas académicas españolas y futuras líneas de investigación

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