Is Research Reproducibility the New Data Management for Libraries?

Cynthia R.H. Vitale
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引用次数: 4

Abstract

EDITOR'S SUMMARY

With reproducibility of research becoming a leading issue in academia, libraries are examiningtheir role in promoting data and information transparency. The National Science Foundation's requirement for data management plans in research projects, grant applications stressing evidence of unbiased results and scholars' demands for standards for reproducibility together highlight the need for attention to the issue.Libraries increasingly seek staff with skills to support their data repositories, curation and data management services, and library and information science programs are responding to the growing need for specialization, including courses in research reproducibility. A ready solution may be for librarians to develop best practices for research transparency and methods to document research workflow. As the demand grows for evidence that research can be replicated, libraries are well positioned not only to manage research data properly but also to enable it to be analyzed for reproducibility.

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研究再现性是图书馆新的数据管理方式吗?
随着研究的可重复性成为学术界的主要问题,图书馆正在审视它们在促进数据和信息透明度方面的作用。美国国家科学基金会(National Science Foundation)对研究项目数据管理计划的要求、强调无偏见结果证据的资助申请以及学者对可重复性标准的要求,都突显了关注这一问题的必要性。图书馆越来越多地寻求有技能的员工来支持他们的数据存储库、策展和数据管理服务,图书馆和信息科学项目正在响应日益增长的专业化需求,包括研究可重复性课程。一个现成的解决方案可能是图书馆员开发研究透明度的最佳实践和记录研究工作流程的方法。随着对研究可复制证据的需求不断增长,图书馆不仅能够妥善管理研究数据,而且能够对其进行再现性分析。
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