Global Diversity in Higher Education Workforces: Towards Openness

Katie S Wilson, R. Handcock, Richard Hosking, C. Huang, Lucy Montgomery, C. Neylon, Alkim Ozaygen, A.M.E. Roelofs
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引用次数: 2

Abstract

In this article we discuss the collection and nature of diversity data relating to origin (ethnicity, race, nationality, indigeneity), gender/sex and disability in higher education institutional workforces across 24 locations within Africa, Asia, Europe, Latin America, North America and Oceania. The research emerges from the Curtin Open Knowledge Initiative project (n.d.), in which we analyse data relating to published research literature, its open access status, citations and collaborations for institutions, publishers and research funding bodies. Our project explores demographic data relating to workforce diversity and research production; we examine who creates knowledge and how diversity is transmitted through research. Collecting and analysing higher education workforce demographic diversity data reveals a global datascape with considerable variation in practices and data collected. The data reflect political and social histories, national and international policies and practices, priorities and funding. The presence and absence of public data provide an opportunity to understand differing national situations and priorities beneath the statistics. We open a conversation about how the concepts of equity, diversity and inclusion differ between groups of countries, which makes global comparisons difficult. By identifying higher education data and gaps, we also encourage institutions and countries to review their workforce demographics and their intersection with research production. Awareness of institutional diversity levels through data analysis can guide institutions towards knowledge openness.
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高等教育劳动力的全球多样性:走向开放
在这篇文章中,我们讨论了在非洲、亚洲、欧洲、拉丁美洲、北美和大洋洲的24个地区的高等教育机构劳动力中,与起源(民族、种族、国籍、土著)、性别/性和残疾有关的多样性数据的收集和性质。这项研究来自科廷开放知识倡议项目(n.d.),在该项目中,我们分析了与已发表的研究文献、其开放获取状态、机构、出版商和研究资助机构的引用和合作有关的数据。我们的项目探索与劳动力多样性和研究成果有关的人口统计数据;我们研究谁创造知识以及多样性如何通过研究传播。收集和分析高等教育劳动力人口多样性数据揭示了在实践和收集的数据中存在相当大差异的全球数据环境。这些数据反映了政治和社会历史、国家和国际政策和做法、优先事项和资金。公共数据的存在和缺失为了解统计数据背后不同的国家情况和优先事项提供了机会。我们开启了一场关于平等、多样性和包容性概念在不同国家群体之间的差异的对话,这使得全球比较变得困难。通过确定高等教育数据和差距,我们还鼓励机构和国家审查其劳动力人口结构及其与研究成果的交集。通过数据分析了解制度多样性水平可以引导制度走向知识开放。
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