如何避免 "基础设施忧郁症"?边学习边关注数据管理

IF 0.7 Q3 ANTHROPOLOGY
Luis Felipe R. Murillo
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引用次数: 0

摘要

在气候危机研究方面,当前的辩论越来越多地强调合作、跨学科工作的需求和挑战。气候变化的地球物理特征越来越被认为不足以应对全球脆弱社区所面临的挑战。在本文中,我介绍了为解决这一问题而开展的边学习边关注环境数据基础设施的工作。我建议从人类学的角度将 "数据管理 "视为一个集体管理的问题,最好将其视为 "知识基础设施"(Edwards,2010 年),而不是自动化数据整理的正式方法。为了研究数据管理的社会技术盲点,我在数据工程工作的基础上阐述了 "基础设施蓝调 "这一人类学概念。在结论部分,我讨论了 "共同 "概念作为 "开放 "技术的替代品,并探讨了建议转向社区管理和自决作为社会环境数据管理指导实践的更广泛影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

How to avoid the “infrastructural blues”? Studying-while-caring for data stewardship

How to avoid the “infrastructural blues”? Studying-while-caring for data stewardship

When it comes to climate crisis research, current debates are increasingly thematizing the needs but also the challenges of collaborative, transdisciplinary work. Geophysical characterizations of climate change are increasingly deemed insufficient to respond to the challenges that vulnerable communities face worldwide. In this paper, I describe the work of studying-while-caring for an environmental data infrastructure in order to address this issue. I suggest framing “data management” anthropologically as a question of collective stewardship that is better conceived as a “knowledge infrastructure” (Edwards 2010) instead of a formal approach to automated data curation. To examine the sociotechnical blindspots of data management, I elaborate on the anthropological concept of “infrastructural blues” based on the data engineering work I conducted. For the conclusion, I discuss the concept of “common” as a substitute for “open” technologies and address the broader implications of the proposed shift toward community stewardship and self-determination as guiding practices for socio-environmental data governance.

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来源期刊
CiteScore
1.90
自引率
14.30%
发文量
21
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