Information-seeking in large-scale digital libraries: Strategies for scholarly workset creation

<p>Large-scale digital libraries such as the HathiTrust contain massive quantities of content combined from heterogeneous collections, with consequential challenges in providing mechanisms for discovery, uni€ed access, and analysis. Œe HathiTrust Research Center has proposed ‘worksets’ as a so...

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Main Authors: Weigl, D, Page, K, Organisciak, P, Downie, J
Format: Conference item
Published: Institute of Electrical and Electronics Engineers 2017
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author Weigl, D
Page, K
Organisciak, P
Downie, J
author_facet Weigl, D
Page, K
Organisciak, P
Downie, J
author_sort Weigl, D
collection OXFORD
description <p>Large-scale digital libraries such as the HathiTrust contain massive quantities of content combined from heterogeneous collections, with consequential challenges in providing mechanisms for discovery, uni€ed access, and analysis. Œe HathiTrust Research Center has proposed ‘worksets’ as a solution for users to conduct their research into the 15 million volumes of HathiTrust content; however existing models of users’ information-seeking behaviour, which might otherwise inform workset development, were established before digital library resources existed at such a scale.</p> <br/> <p>We examine whether these information-seeking models can sufficiently articulate the emergent user activities of scholarly investigation as perceived during the creation of worksets. We demonstrate that a combination of established models by Bates, Ellis, and Wilson can accommodate many aspects of information seeking in largescale digital libraries at a broad, conceptual, level. We go on to identify the supplemental information-seeking strategies necessary to speci€cally describe several workset creation exemplars.</p> <br/> <p>Finally, we propose complementary additions to the existing models: we classify strategies as instances of querying, browsing, and contribution. Similarly we introduce a notion of scope according to the interaction of a strategy with content, content-derived metadata, or contextual metadata. Considering the scope and modality of new and existing strategies within the composite model allows us to beŠer express—and so aid our understanding of—informationseeking behaviour within large-scale digital libraries.</p>
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spelling oxford-uuid:ef0a9764-5ef4-47af-9a2b-5ea7acc61d7b2022-03-27T11:37:26ZInformation-seeking in large-scale digital libraries: Strategies for scholarly workset creationConference itemhttp://purl.org/coar/resource_type/c_5794uuid:ef0a9764-5ef4-47af-9a2b-5ea7acc61d7bSymplectic Elements at OxfordInstitute of Electrical and Electronics Engineers2017Weigl, DPage, KOrganisciak, PDownie, J<p>Large-scale digital libraries such as the HathiTrust contain massive quantities of content combined from heterogeneous collections, with consequential challenges in providing mechanisms for discovery, uni€ed access, and analysis. Œe HathiTrust Research Center has proposed ‘worksets’ as a solution for users to conduct their research into the 15 million volumes of HathiTrust content; however existing models of users’ information-seeking behaviour, which might otherwise inform workset development, were established before digital library resources existed at such a scale.</p> <br/> <p>We examine whether these information-seeking models can sufficiently articulate the emergent user activities of scholarly investigation as perceived during the creation of worksets. We demonstrate that a combination of established models by Bates, Ellis, and Wilson can accommodate many aspects of information seeking in largescale digital libraries at a broad, conceptual, level. We go on to identify the supplemental information-seeking strategies necessary to speci€cally describe several workset creation exemplars.</p> <br/> <p>Finally, we propose complementary additions to the existing models: we classify strategies as instances of querying, browsing, and contribution. Similarly we introduce a notion of scope according to the interaction of a strategy with content, content-derived metadata, or contextual metadata. Considering the scope and modality of new and existing strategies within the composite model allows us to beŠer express—and so aid our understanding of—informationseeking behaviour within large-scale digital libraries.</p>
spellingShingle Weigl, D
Page, K
Organisciak, P
Downie, J
Information-seeking in large-scale digital libraries: Strategies for scholarly workset creation
title Information-seeking in large-scale digital libraries: Strategies for scholarly workset creation
title_full Information-seeking in large-scale digital libraries: Strategies for scholarly workset creation
title_fullStr Information-seeking in large-scale digital libraries: Strategies for scholarly workset creation
title_full_unstemmed Information-seeking in large-scale digital libraries: Strategies for scholarly workset creation
title_short Information-seeking in large-scale digital libraries: Strategies for scholarly workset creation
title_sort information seeking in large scale digital libraries strategies for scholarly workset creation
work_keys_str_mv AT weigld informationseekinginlargescaledigitallibrariesstrategiesforscholarlyworksetcreation
AT pagek informationseekinginlargescaledigitallibrariesstrategiesforscholarlyworksetcreation
AT organisciakp informationseekinginlargescaledigitallibrariesstrategiesforscholarlyworksetcreation
AT downiej informationseekinginlargescaledigitallibrariesstrategiesforscholarlyworksetcreation