University Libraries

Permanent URI for this communityhttp://hdl.handle.net/1903/10

Browse

Subject: search.filters.subject.discovery

Search Results

Now showing 1 - 5 of 5
  • Thumbnail Image
    Item
    Bento Box Discovery: Alpha Release
    (2019-06-11) Bradley, Ben; Brite, Jay; Parker, Bria; Smith, Austin; Wallberg, Ben; Zdravkovska, Nevenka; Zhao, Cindy
    For the past year, the Discovery Committee has been working on creating a new search interface for the libraries using NCSU Libraries' QuickSearch, an open-source application. This poster will provide an update on the progress the group has made and will include a live demo and usability testing of the in-development application.
  • Thumbnail Image
    Item
    The Future of Resource Sharing: The Big Ten Academic Alliance’s Vision for Next Generation Discovery to Delivery Systems
    (2017-10-31) Thompson, Hilary
    The Big Ten Academic Alliance has envisioned a future in which systems interoperability and communication replace today’s silos for a frictionless patron discovery experience and smarter request fulfillment. We will share this vision for next generation discovery to delivery systems, explore some of the functional requirements necessary to achieve it, and invite conversation about how the library community can help transform these ideas into reality.
  • Thumbnail Image
    Item
    Bento Box Discovery
    (2016-06-08) Wallberg, Ben; Tai, Xiaoyu
    Users find the the list of resources and terms for finding information bewildering: book, journal, article, database, resource, catalog, worldcat, guide, website, google scholar, institutional repository, digital collections, archives, etc. What they really want is a single search box which will return a single, relevance-ranked result set across all Libraries' resources and more. In the absence of a single data source to support such a search, Libraries for many years have tried to dynamically aggregate and de-duplicate federated searches across multiple data sources, called metasearch, which has not worked very well. In recent years a new model, often called Bento Box, has become popular which attempts to come closer to the ideal search. In this model the user enters their search into a single box, then multiple sources are searched and presented back on a single result screen, boxed into separate areas without de-duplication, with only a few results from each source. Then the user can clearly see that results have come from multiple sources and either select a specific hit or see more results from any of the sources.
  • Thumbnail Image
    Item
    Find It Fail: What ILL can tell us about Challenges related to Known Item Discovery
    (2015-07-30) Thompson, Hilary
    When discovery of known items fail, library users often turn to interlibrary loan for assistance obtaining these materials. At the University of Maryland Libraries, Interlibrary Loan staff members then fill the requests by directing the user to subscription e-resources or items that are freely available on the web. The resulting transactions—approximately 2,500 per year—provide insight into the difficulties encountered by library users in finding and accessing known items online. Data gathered in ILLiad’s Document Delivery module during FY2014 and FY2015 sheds light on which user groups have trouble finding material readily available online and which types of resources most often go undiscovered. Analyzing this data has led the UMD ILL unit to identify several strategies to help users better locate these materials themselves. The poster will cover how we collect this data, specific issues that the data reveals, the actions we are taking in response, and how we hope to measure the success of our efforts to improve known item discovery within the UMD community.
  • Thumbnail Image
    Item
    Find It Fail: What ILL can tell us about Challenges related to Known Item Discovery
    (2015-06-04) Thompson, Hilary
    When discovery of known items fail, library users often turn to interlibrary loan for assistance obtaining these materials. ILL staff members then “fill” the requests by directing the user to subscription e-resources or items that are freely available on the web. The resulting transactions (approximately 2,500 per year) provide insight into the difficulties encountered by library users in finding and accessing known items online. Using data gathered from ILLiad, I hope to shed light on which user groups have trouble finding material readily available online, which types of resources pose particular difficulty, and generate discussion about how the Libraries can help users learn to locate these materials themselves.