论文标题

Wikimedia项目的知识差距的分类学(第二稿)

A Taxonomy of Knowledge Gaps for Wikimedia Projects (Second Draft)

论文作者

Redi, Miriam, Gerlach, Martin, Johnson, Isaac, Morgan, Jonathan, Zia, Leila

论文摘要

在Wikimedia运动的2030年战略方向的提示下,Wikimedia Foundation的研究团队确定了开发知识差距指数的必要性 - 一种综合指数,以支持整个Wikimedia运动的决策者通过提供:鼓励结构化和针对性的头脑风格讨论的框架;有关Wikimedia项目的知识差距状态的数据,这些数据可以为决策提供信息,并有助于衡量大规模计划在运动中的长期影响。 在2020年7月首次发布之后,研究小组为Wikimedia项目开发了第二份知识差距的完整草案,这是迈向建立知识差距指数的第一步。我们研究了学者,研究人员,从业者,社区成员和分支机构的250多个参考文献 - 揭示了Wikimedia项目的读者群,贡献和内容的知识差距的证据。我们详细阐述了这些发现,并在本文中汇总了知识差距的分类法,我们在其中描述,将知识差距分组为结构化框架。您将通过知识差距索引在其余工作中了解更多的分类学将作为操作和量化知识权益的基础,这是两个2030年战略方向之一。

In January 2019, prompted by the Wikimedia Movement's 2030 strategic direction, the Research team at the Wikimedia Foundation identified the need to develop a knowledge gaps index -- a composite index to support the decision makers across the Wikimedia movement by providing: a framework to encourage structured and targeted brainstorming discussions; data on the state of the knowledge gaps across the Wikimedia projects that can inform decision making and assist with measuring the long term impact of large scale initiatives in the Movement. After its first release in July 2020, the Research team has developed the second complete draft of a taxonomy of knowledge gaps for the Wikimedia projects, as the first step towards building the knowledge gap index. We studied more than 250 references by scholars, researchers, practitioners, community members and affiliates -- exposing evidence of knowledge gaps in readership, contributorship, and content of Wikimedia projects. We elaborated the findings and compiled the taxonomy of knowledge gaps in this paper, where we describe, group and classify knowledge gaps into a structured framework. The taxonomy that you will learn more about in the rest of this work will serve as a basis to operationalize and quantify knowledge equity, one of the two 2030 strategic directions, through the knowledge gaps index.

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