Data science in the library: tools and strategies for supporting data-driven research and instruction

IF 1 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Daniel Giddens
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引用次数: 2

Abstract

pedagogical approaches which could guide and connect the library and teaching staff. Another strength of the book is the specific practice-based examples that offer a real demonstration of how the models or frameworks are implemented across divergent disciplines. These example chapters are very well-structured, leading the reader from the context of the cohort and the rationale for the collaboration between academics and library staff to the implementation of the frameworks in each discipline, the outcomes of the implementation and the reflections of librarians, learning skills advisors and course coordinators. Through this structure, a comprehensive logical understanding of how to start conversations with academics based on shared values and how to integrate the frameworks flexibly and engagingly is provided. This is useful for both library and teaching staff across different contexts as it proffers a step-by-step procedure from initiating a collaboration with academics to collating feedback including self-reflection by library staff. Nineteen chapters of the book form a diverse representation of various disciplines, although it seems to be law and business that feature most. There are examples from undergraduate, postgraduate and internship programs, some of which are interdisciplinary. The book was published in early 2021 but most chapters must have been written before the pandemic in 2020. Therefore, how the library staff conducted information literacy and academic skills workshops in the online and hybrid environment was not covered. Most classes described in the book were face-to-face with materials embedded online. Nonetheless, the main focus of the book is on the implementation of pedagogical frameworks with reflection on the implementation. Strategies, success stories and suggestions for improvements have significant implications for collaborative partnerships between the library and university academics as well as the incorporation of information literacy and academic skills into tertiary curricula. The book is highly recommended for learning skills advisors, librarians, library managers and directors, course coordinators, lecturers and learning designers.
图书馆中的数据科学:支持数据驱动的研究和教学的工具和策略
可以指导和连接图书馆和教职员工的教学方法。这本书的另一个优势是基于实践的具体例子,这些例子真实地展示了模型或框架是如何在不同的学科中实现的。这些示例章节结构非常好,引导读者从队列的背景以及学者和图书馆工作人员之间合作的理由,到每个学科框架的实施、实施的结果以及图书馆员、学习技能顾问和课程协调员的思考。通过这种结构,我们可以全面地从逻辑上理解如何在共同价值观的基础上与学者展开对话,以及如何灵活而有吸引力地整合这些框架。这对不同背景下的图书馆和教职员工都很有用,因为它提供了一个循序渐进的程序,从开始与学者合作到整理反馈,包括图书馆员工的自我反思。这本书的十九章对各个学科进行了多样化的表述,尽管法律和商业似乎是最重要的。有一些来自本科生、研究生和实习项目的例子,其中一些是跨学科的。这本书于2021年初出版,但大多数章节肯定是在2020年疫情之前写的。因此,图书馆工作人员如何在网上和混合环境中举办信息素养和学术技能讲习班并不包括在内。书中描述的大多数课程都是面对面授课,并在网上嵌入材料。尽管如此,本书的主要重点是教学框架的实施,并对实施进行了反思。战略、成功案例和改进建议对图书馆与大学学者之间的合作伙伴关系以及将信息素养和学术技能纳入高等教育课程具有重要意义。本书强烈推荐给学习技能顾问、图书馆员、图书馆经理和主任、课程协调员、讲师和学习设计师。
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来源期刊
Journal of the Australian Library and Information Association
Journal of the Australian Library and Information Association INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.40
自引率
15.40%
发文量
65
期刊介绍: The Journal of the Australian Library and Information Association is the flagship journal of the Australian Library and Information Association (ALIA). It is a quarterly publication for information science researchers, information professionals, related disciplines and industries. The Journal aims to stimulate discussion and inform practice by showcasing original peer reviewed research articles and other scholarly papers about, or relevant to, the Australian and Southern Asia Pacific regions. Authors from the full range of information professions and areas of scholarship are invited to contribute their work to the Journal.
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