Scholarly Social Machines: A Web Science Perspective on our Knowledge Infrastructure
Scholarly Social Machines: A Web Science Perspective on our Knowledge Infrastructure
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DOI：
10.1145/3394231.3397915
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发表时间：
2020-06
期刊：
影响因子：
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通讯作者：
D. D. Roure-D.;P. Willcox
中科院分区：
文献类型：
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作者：
D. D. Roure-D.;P. Willcox
知识基础设施包括产生、共享和维护知识的人员、人工制品和机构，通常以网络为媒介。我们的学术知识基础设施正在不断发展，因为研究人员采用数字技术，通过增加数字数据，计算能力和分析工具和技术的可用性。最重要的是，社会结构也在发生变化。本文采用网络科学的方法，鼓励读者将学术知识基础设施视为一个相互作用和不断发展的社会机器的生态系统。我们用一系列描述性的例子来说明这些学术社会机器，并反思这些，提出与学术社会机器相关的学术原语。我们建议这种方法有助于全面了解我们的学术知识基础设施并为其发展提供信息。
A Knowledge Infrastructure comprises the people, artefacts, and institutions that generate, share, and maintain knowledge, very often mediated by the Web. Our scholarly Knowledge Infrastructure is evolving as researchers embrace digital techniques enabled by increasing availability of digital data, computational power, and analytical tools and techniques. Crucially, the social structures are changing also. Taking a Web Science approach, this paper encourages the reader to view the scholarly Knowledge Infrastructure as an ecosystem of interacting and evolving Social Machines. We illustrate these Scholarly Social Machines with a series of descriptive examples, and reflect on these to propose Scholarly Primitives associated with Scholarly Social Machines. We suggest that this approach facilitates a holistic understanding of our scholarly Knowledge Infrastructure and informs its evolution.