当前位置: X-MOL 学术The Journal of Academic Librarianship › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Love Data Week in the time of COVID-19: A content analysis of Love Data Week 2021 events
The Journal of Academic Librarianship ( IF 2.5 ) Pub Date : 2021-09-08 , DOI: 10.1016/j.acalib.2021.102449
Alisa B Rod 1 , Marcela Y Isuster 2 , Martin Chandler 3
Affiliation  

A primary role for data-focused librarians is building community through traditional and novel modes of in-person outreach, including consultations, training, and themed events such as Love Data Week. Unfortunately, the COVID-19 pandemic rendered in-person events impossible. However, Love Data Week 2021 persisted in an online format, allowing data-focused librarians a unique chance to initiate outreach to geographically dispersed constituents. In this study, the authors investigate the nature and context of Love Data Week 2021 events to gain insight into current research data services trends, as impacted by the global COVID-19 pandemic. The authors collected qualitative information about 242 Love Data Week 2021 events across 37 organizations and coded the information using manual content analysis. This paper reports on descriptive results from the content analysis, including the dominant topics across events (software or digital tools, research data management, and service or product awareness) and the primary mode of events (workshops). The authors discuss implications for future research on Love Data Week and themed weeks in general as successful modes of outreach, community-building, and as venues for tracking emerging trends in the context of research data services.



中文翻译:


COVID-19时代的爱情数据周:2021年爱情数据周活动的内容分析



以数据为中心的图书馆员的主要作用是通过传统和新颖的面对面推广方式建立社区,包括咨询、培训和“爱数据周”等主题活动。不幸的是,新冠肺炎 (COVID-19) 大流行使得现场活动变得不可能。然而,2021 年“爱数据周”仍坚持在线形式,为专注于数据的图书馆员提供了独特的机会,向地理上分散的选民进行宣传。在这项研究中,作者调查了 2021 年“爱数据周”活动的性质和背景,以深入了解受全球 COVID-19 大流行影响的当前研究数据服务趋势。作者收集了 37 个组织的 242 场 2021 年爱情数据周活动的定性信息,并使用手动内容分析对信息进行编码。本文报告了内容分析的描述性结果,包括跨活动的主导主题(软件或数字工具、研究数据管理以及服务或产品意识)和活动的主要模式(研讨会)。作者讨论了“爱数据周”和主题周作为成功的外展模式、社区建设以及作为跟踪研究数据服务背景下新兴趋势的场所对未来研究的影响。

更新日期:2021-09-09
down
wechat
bug