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Show me the data!: Partnering with instructors to teach data literacy

机译:向我展示数据!:与教师合作教授数据素养

摘要

The shift to quantitative research methods in social science disciplines is not news in today’s academy, however the relative ease of acquiring data sets via the Internet and the availability of online analysis and visualization tools have brought data into the mainstream of instruction in many academic departments. Teaching faculty are increasingly using numeric and spatial data sets in their courses. In turn, faculty and students need specialized instruction in finding, formatting and analyzing data. Academic libraries have supported data users for decades, but only recently has “data services” appeared widely in library job titles and advertised services. As demonstrated by the recent library literature, a new profession in the library has emerged, "Data Services Librarian." It is progressively clear that academic libraries are positioning data services offerings in order to support teaching and learning.Since there is not a single model for data services in academic libraries, each library faces its own challenges and opportunities in understanding how relevant data service offerings could be constructed to meet the disciplinary needs of an institution. At a large Midwestern university, the library partnered with an established data consulting service on campus to offer fifteen hours per week of consultation office hours. As the number of consultations increased, the assigned library committee was able to consider ways to expand the service. A survey of faculty, staff, and graduate students across academic departments was conducted to examine the use of data sets in research and/or teaching. This survey informed ongoing efforts including what type of data sets in which to invest monies, demand for specific software and the hardware necessary to support it, prioritizing training for librarians and staff, and working with the institutional repository for archiving data sets. The contributed paper will look closely at survey results in relation to teaching with data, discuss implications for instructors who are using data and consider how the library can expand data services to support teaching. The paper will focus on addressing the following questions:1. What kind of assistance do instructors want from the library to support their teaching and for their students working with data sets?2. How can the library develop partnerships and programs to meet these needs creatively, given existing financial constraints and skill levels?3. What types of assessment data will need to be gathered in order to demonstrate that programs and training are successful?Our survey findings will be used as a starting point in consideration of the issues librarians face to support courses that work with data sets. The presentation will complement research findings as enumerated in the contributed paper by discussing the overall impact of data needs on library services. Final paper conclusions will argue that training needs to extend beyond simply helping users to access data sets by graduating to a deeper understanding for how faculty and students use data. In other words, the area of data services requires librarians to take a leadership role in advocating for true research partnerships. Learning outcomes:1. Attendees will be introduced to how a sample of teaching faculty are using data sets in instruction in order to promote conversation regarding data services at their institution.2. Attendees will learn about ways in which librarians can support courses that work with data sets by partnering with instructors in order to generate ideas for possible service offerings at their institutions.3. Attendees will identify other librarians with similar issues in offering data services in order to develop a peer network for brainstorming and sharing of best practices.
机译:在当今的学术界,向社会科学学科中的定量研究方法转变并不是什么新闻,但是通过互联网获取数据集的相对简便性以及在线分析和可视化工具的可用性使数据成为许多学术部门教学的主流。教师在课程中越来越多地使用数字和空间数据集。反过来,教师和学生需要专门的指导来查找,格式化和分析数据。高校图书馆为数据用户提供支持已有几十年了,但是直到最近,“数据服务”才在图书馆职位和广告服务中广泛出现。正如最近的图书馆文献所证明的那样,图书馆中出现了一个新的职业,即“数据服务图书馆员”。显然,高校图书馆正在定位数据服务产品以支持教学和学习。由于高校图书馆中没有单一的数据服务模型,因此每个图书馆在理解相关数据服务产品如何应对时都面临着自己的挑战和机遇。可以满足机构的纪律需要。在中西部的一所大型大学中,图书馆与校园内已建立的数据咨询服务合作,每周提供15个小时的咨询办公时间。随着咨询数量的增加,指定的图书馆委员会能够考虑扩大服务范围的方法。进行了对各个学术部门的教职员工和研究生的调查,以研究数据集在研究和/或教学中的使用。这项调查告知了正在进行的工作,包括投资哪种类型的数据集,对支持它所需的特定软件和硬件的需求,对图书馆员和员工的培训进行优先级排序以及与机构存储库一起归档数据集。撰写的论文将密切关注与数据教学有关的调查结果,讨论对使用数据的教师的影响,并考虑图书馆如何扩展数据服务以支持教学。本文将重点解决以下问题:1。讲师希望图书馆提供什么样的帮助以支持他们的教学以及对使用数据集的学生的支持?2。在现有的财务限制和技能水平的前提下,图书馆如何发展创意的伙伴关系和计划以满足这些需求?3。为了证明计划和培训是成功的,需要收集哪些类型的评估数据?我们的调查结果将作为起点,考虑到图书馆员在支持使用数据集的课程方面所面临的问题。通过讨论数据需求对图书馆服务的总体影响,本演讲将补充本文所列举的研究结果。最终的论文结论将表明,培训的范围不仅仅局限于帮助用户通过逐步获得对教职员工如何使用数据的理解来帮助访问数据集。换句话说,数据服务领域要求图书馆员在倡导真正的研究合作伙伴关系中发挥领导作用。学习成果:1。将向与会者介绍教学教师样本如何在教学中使用数据集,以促进与其所在机构有关数据服务的对话。2。与会者将学习与馆员合作,图书馆员如何支持与数据集相关的课程,从而为机构中可能的服务提供意见。3。与会者将确定在提供数据服务方面存在类似问题的其他图书馆员,以建立一个集思广益和共享最佳实践的对等网络。

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