Equity, Diversity, and Inclusion in Institutional Research Data Management Strategies

Sabrina Wong
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Abstract

Research data management (RDM) is a field of emerging concern for academic librarians. As funder agencies increasingly mandate institutions and researchers to ethically and responsibly manage their research data, academic librarians are frequently tasked with creating institutional strategies and services to support researchers. This article explores how a racialized librarian at a medium-sized, teaching-focused Canadian university created an institutional research data management strategy through a process informed by critical librarianship research and contributive justice (Gomberg, 2016; Honma & Chu, 2018). It examines the lack of equity, diversity, and inclusion (EDI) principles in both funder directives and RDM research literature and proposes an approach to do institutional RDM work in an EDI-centered way.
机构研究数据管理战略中的公平性、多样性和包容性
研究数据管理(RDM)是学术图书馆员新近关注的一个领域。随着资助机构越来越多地要求机构和研究人员以道德和负责任的方式管理其研究数据,学术图书馆员经常被委以创建机构战略和服务以支持研究人员的重任。本文探讨了加拿大一所中等规模、以教学为重点的大学的种族化图书馆员如何通过批判性图书馆学研究和贡献正义(Gomberg,2016;Honma & Chu,2018)为指导的过程创建机构研究数据管理战略。该研究探讨了资助者指令和 RDM 研究文献中缺乏公平、多样性和包容性(EDI)原则的问题,并提出了一种以 EDI 为中心开展机构 RDM 工作的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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