首页> 外文OA文献 >Library workshops in support of data-driven research in top NIH- and NSF-funded universities
【2h】

Library workshops in support of data-driven research in top NIH- and NSF-funded universities

机译:在美国国立卫生研究院(NIH)和美国国家科学基金会(NSF)资助的顶尖大学中,图书馆研讨会支持数据驱动的研究

摘要

In response to an urgent need for computationally-savvy researchers, leading university libraries are developing and offering participatory workshops to introduce their patrons to data-driven research methods and resources. In doing so, libraries help to improve the competitive advantage of their universities relative to other schools that compete for federal funds. We conducted a qualitative study to explore the nature of library workshops offered in top NIH- and NSF-funded universities. To guide strategic planning, we present a catalog of the workshops offered in fall 2016, two indexes for resources and workshop content, and a thematic analysis. A BRIEF WORD ABOUT METHODS. We used NIH Research Portfolio Online Reporting Tools and the NSF Budget Internet Information System to identify top-funded universities. From their corresponding websites, we extracted information on 99 workshops offered by five health sciences libraries and five main libraries in schools funded by NIH and NSF, respectively. We recorded workshop title, duration, and description by source of federal funding and library. Additionally, we used qualitative data analysis methods to identify themes in the dataset, and natural language processing to identify candidate terms for the resource and subject indexes. The results of the content analyses, as well as the indexes, yield insights regarding workshop coverage.
机译:为了满足对计算能力强的研究人员的迫切需求,领先的大学图书馆正在开发并提供参与性研讨会,以向赞助人介绍数据驱动的研究方法和资源。通过这样做,图书馆有助于提高其大学相对于其他竞争联邦资金的学校的竞争优势。我们进行了定性研究,以探讨由NIH和NSF资助的顶尖大学提供的图书馆研讨会的性质。为了指导战略规划,我们提供了2016年秋季提供的研讨会的目录,资源和研讨会内容的两个索引以及主题分析。关于方法的简要说明。我们使用NIH Research Portfolio在线报告工具和NSF预算Internet信息系统来确定资金最雄厚的大学。我们从其相应的网站中提取了由美国国立卫生研究院和美国国家科学基金会资助的五个健康科学图书馆和五个主要图书馆分别提供的99个讲习班的信息。我们按联邦资金和图书馆的来源记录了研讨会的名称,持续时间和描述。此外,我们使用定性数据分析方法来识别数据集中的主题,并使用自然语言处理来识别资源和主题索引的候选术语。内容分析的结果以及索引可以得出有关车间覆盖面的见解。

著录项

  • 作者

    Bekhuis Tanja;

  • 作者单位
  • 年度 2017
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号