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Limitations to success in academic data reference support
Journal of Librarianship and Information Science ( IF 1.820 ) Pub Date : 2021-03-02 , DOI: 10.1177/0961000621995530
Jenny McBurney 1 , Alicia Kubas 1
Affiliation  

As secondary data become increasingly integrated into research and coursework across a widening variety of fields and disciplines, data reference is gaining traction as a major area of library research support. To examine the current landscape of data reference, we distributed a survey via regional and international library listservs asking librarians about their experiences and opinions related to their data reference work. For this paper, the full collected dataset was limited to only academic librarians who answer at least one data reference question per month in order to identify the unique needs of respondents doing reference work in academic institutions, with the ultimate goal of improving our own work as academic librarians at our institution. We used a grounded theory approach to analyze the qualitative survey response data, and supplemented this analysis with descriptive statistics and chi-square tests for the quantitative responses. Through this analysis, we identify a theoretical framework consisting of three themes relating to limitations to success where librarians must advocate for change in order to maintain and improve high-quality data reference work in the academic sphere: (1) technology and resource limitations, such as substandard database interfaces; (2) institutional limitations, such as insufficient staff time or resources dedicated to data reference; and (3) personal limitations, such as a lack of data skills. While librarians have varying levels of influence over each of these three areas, identifying and targeting these categories can help librarians and other data professionals focus resources and build cases for additional support from their library and campus administrators.



中文翻译:

学术数据参考支持成功的局限性

随着辅助数据越来越广泛地集成到跨领域和学科的研究和课程中,作为图书馆研究支持的主要领域,数据参考正受到越来越多的关注。为了检查数据参考的当前状况,我们通过区域和国际图书馆列表服务器分发了一项调查,向图书馆员询问他们与数据参考工作有关的经验和观点。在本文中,完整收集的数据集仅限于每月回答至少一个数据参考问题的学术图书馆员,以便确定在学术机构中从事参考工作的受访者的独特需求,最终目的是改善我们自己的工作,我们机构的学术图书馆员。我们使用了扎根的理论方法来分析定性调查的响应数据,并以描述性统计数据和卡方检验作为定量响应的补充。通过这种分析,我们确定了一个由三个与成功局限相关的主题组成的理论框架,图书馆员必​​须倡导变革,以维持和改进学术领域的高质量数据参考工作:(1)技术和资源局限性,例如作为不合格的数据库接口;(2)机构限制,例如工作人员时间不足或用于数据参考的资源不足;(3)个人限制,例如缺乏数据技能。图书馆员对这三个领域的影响程度各不相同,

更新日期:2021-03-02
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