LUSTRE:一个在线数据管理和学生项目资源

IF 1.5 Q2 EDUCATION, SCIENTIFIC DISCIPLINES Journal of Statistics and Data Science Education Pub Date : 2022-08-30 DOI:10.1080/26939169.2022.2118645
J. Towse, R. Davies, Ellie Ball, Rebecca James, Ben Gooding, Matthew Ivory
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引用次数: 1

摘要

摘要我们主张在支持可复制工作流程经验的背景下,更加重视对学生的数据管理培训。我们介绍了兰开斯特大学统计资源(LUSTRE)包,用于管理学生心理学研究项目数据,并建立数据敏锐性方面的能力。LUSTRE提供了一个安全的空间,让学生参与开放的研究实践——通过在可复制的研究管道中建立有形的不同阶段,同时强调其作为一种可转移技能的价值。这是一个开源的在线数据目录,捕获了与数据科学家潜在相关的学生研究项目的关键数据管理信息。在教学课程中,它还强调了数据管理过程的概念和示例。我们为LUSTRE记录了一组开放教学资源,并考虑其他人如何实施或调整这些资源,以促进数据管理和开放研究。我们讨论了LUSTRE作为;(a) 促进良好数据管理做法的资源和一套活动;(b) 在开放研究中提供关键概念的框架;(c) 组织和展示项目工作的在线系统。
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LUSTRE: An Online Data Management and Student Project Resource
Abstract We advocate for greater emphasis in training students about data management, within the context of supporting experience in reproducible workflows. We introduce the Lancaster University STatistics REsources (LUSTRE) package, used to manage student research project data in psychology and build capacity with respect to data acumen. LUSTRE provides a safe space to engage students with open research practices—by making tangible different phases of the reproducible research pipeline, while emphasizing its value as a transferable skill. It is an open-source online data catalogue that captures key data management information about a student research project of potential relevance to data scientists. Embedded within a taught programme, it also highlights concepts and examples of data management processes. We document a portfolio of open teaching resources for LUSTRE, and consider how others can implement or adapt them to facilitate data management and open research. We discuss the role of LUSTRE as a; (a) resource and set of activities for promoting good data management practices; (b) framework to enable the delivery of key concepts in open research; (c) an online system to organize and showcase project work.
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来源期刊
Journal of Statistics and Data Science Education
Journal of Statistics and Data Science Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
3.90
自引率
35.30%
发文量
52
审稿时长
12 weeks
期刊最新文献
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