Library Research & Innovative Practice Forum

Permanent URI for this collectionhttp://hdl.handle.net/1903/16362

The Library Research & Innovative Practice Forum is an annual event in June featuring lightning talks, presentations, and poster sessions by UMD Libraries’ librarians and staff.

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Author: search.filters.author.Koivisto, Joseph

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Now showing 1 - 6 of 6
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    The Closed-Loop: Academic Publication Data Conundrum
    (2022-06-08) Koivisto, Joseph; Sly, Jordan
    In this talk we will discuss the problems inherent in the publications-as-data model of large publishing and educational technology platforms. The datafication of scholarly communications establishes a closed-loop pipeline endangering library values and university goals through the narrowing of impact-ratio focused research and the development of a surveillance publishing model. These new methods of extracting value from scholarly content producers and consumers could dramatically impact the future of academic freedom for students, faculty, and libraries. Universities are in a unique position as we have become both the data source and the consumer for publications and data regarding the use of the publications. We will look at distinct aspects of these content models and the ways in which they present problems to the diversity of university research, library acquisitions, and data security for library users.
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    Project Academic Knowledge: Using the Microsoft Academic API to evaluate institutional repository impact
    (2020-06-26) Koivisto, Joseph
    Microsoft Academic (MA) is a publicly-accessible commercial discovery interface that supports creative reuse and evaluation of data through the implementation of accessible APIs. This presentation will provide an overview of both MA and its associated APIs, focusing on unique features that provide a competitive advantage over similar platforms. Additionally, this presentation will provide use case demonstrations of using MA-sourced data to evaluate citation data for MD-SOAR records. Technical requirements will be discussed at entry-level detail, allowing non-programmers to understand what is needed to get started using MA APIs.
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    My very first robot: Programming a Twitter bot to promote open access scholarship
    (2018-06-14) Koivisto, Joseph; Koivisto, Joseph
    Social media is now recognized as an important element in promoting scholarship available on institutional repository sites. To capitalize on the value-added by social media engagement, automated "bots" can be deployed to facilitate social media outreach with minimal administrative investment. In this presentation, I'll provide an overview of social media's value in the context of open access publishing. I will also walk through the steps of creating a Python-based Twitter bot, providing high-level concepts that will be understandable for non-programmers. I will also provide a narrative description of my experience building my first Twitter bot to help reveal the sometimes hidden labor that goes in to the development of behind-the-scenes programmatic tools.
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    Assessing effectiveness of communication and collaboration platforms at USMAI partner campuses
    (2017-06-08) Dahl, David; Hanson, Heidi; Koivisto, Joseph
    The USMAI library consortium — originally formed to capitalize on cooperative resource sharing — provides partner institutions with a knowledge-sharing network and a pool of talented, insightful collaborators. By combining a range of perspectives, practices, and localized expertise, consortial partners have become better equipped to address the individual needs of their campus community while also gaining increased library domain knowledge through collaborative engagement and collegial correspondence. While acknowledging this noble mission, the authors of this proposal posed a question to the USMAI consortium: do the communication and collaboration platforms used among consortial partners help enhance this aim, or do they rather serve as a stumbling block to an otherwise motivated community of peers? During the summer and fall of 2016, the project team conducted a series of surveys, meetings, and focus groups to determine the effectiveness of the variety of tools available to the consortium for communication and collaboration purposes, such as the USMAI web sites, web conferencing platforms (e.g., GoToMeeting), and the USMAICollaborates Google site. In this presentation, the project team will describe the motivating factors for this assessment, an overview of the planning and execution of our data collection activities, and a report of our findings on the user assessment of tool effectiveness and usability. The authors will also lay out a series of recommendations for enhanced platform development that have been submitted to the USMAI executive leadership and the Council of Library Directors.
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    Blind spots, gaps, and unexpected traffic: A (brief) history of the transition to Google Tag Manager and new approaches to improved MD-SOAR analytics
    (2017-06-08) Koivisto, Joseph
    The transition to Google Tag Manager (GTM) seemed like an obvious choice for the MD-SOAR shared institutional repository: easier management of custom analytics tags, immediate integration with existing DSpace and Google Analytics infrastructure, and easy customization translating to better item-level statistics for participating campuses. However, now - more than a year post implementation - numerous issues with the GTM approach have been observed. In addition to breaking existing custom development that was implemented for recent DSpace releases, GTM was revealed to miscount metrics related to bitstream downloads and inbound web traffic from indexed search engines. This poster will provide an overview of problems observed with the Google Tag Manager implementation for the MD-SOAR DSpace instance and the custom tag development necessary to adequately address these problems. Furthermore, this poster will provide an overview of a newly formed partnership with the RAMP initiative headquartered at the University of Montana, a collaboration that hopes to support the development of a novel analytics approach that more accurately reflects platform and bitstream use. A comparatively assessment of gathered metrics will be provided.
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    Custom Analytics with Google Tag Manager: Assessing Usage Statistics on the MD-SOAR Platform
    (2016-06-08) Koivisto, Joseph
    As usage metrics continue to attain an increasingly central role in library system assessment and analysis, librarians tasked with system selection, implementation, and support are driven to identify metric approaches that simultaneously require less technical complexity and greater levels of data granularity. Such approaches allow systems librarians to present evidence-based claims of platform usage behaviors while reducing the resources necessary to collect such information, thereby representing a novel approach to real-time user analysis as well as dual benefit in active and preventative cost reduction. As part of the DSpace implementation for the MD SOAR initiative, the Consortial Library Application Support (CLAS) division has begun test implementation of the Google Tag Manager analytic system in an attempt to collect custom analytical dimensions to track author- and university-specific download behaviors. Building on the work of Conrad , CLAS seeks to demonstrate that the GTM approach to custom analytics provides both granular metadata-based usage statistics in an approach that will prove extensible for additional statistical gathering in the future. This poster will discuss the methodology used to develop these custom tag approaches, the benefits of using the GTM model, and the risks and benefits associated with further implementation.