Data Integration as Coordination: The Articulation of Data Work in an Ocean Science Collaboration
Data Integration as Coordination: The Articulation of Data Work in an Ocean Science Collaboration
复制标题
数据集成作为协调：海洋科学合作中数据工作的阐明
DOI：
10.1145/3432955
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发表时间：
2021
影响因子：
--
通讯作者：
Lee, Charlotte P.
中科院分区：
文献类型：
--
作者：
Neang, Andrew B.;Sutherland, Will;Beach, Michael W.;Lee, Charlotte P.
最近的CSCW研究的协同设计和开发的研究基础设施的自然科学越来越多地集中在开放的数据共享的挑战。这项定性研究描述和分析了多学科、地理分布的海洋科学家如何整合高度多样化的数据，作为开发新的研究基础设施以推进科学发展的努力的一部分。本文确定了不同类型的协调，这是必要的数据收集，生产和分析的过程保持一致。在数据集成成为一个技术问题之前，一些集成数据的艰苦工作已经完成。在数据集成成为技术问题之后，社会和组织手段对于解决假设、方法、实践和优先级方面的差异仍然至关重要。这项工作呼吁关注的协调，社会和组织的做法和关注的多样性，需要整合数据，以及如何在高度创新的工作，整合数据的过程也有助于定义科学的问题空间本身。
Recent CSCW research on the collaborative design and development of research infrastructures for the natural sciences has increasingly focused on the challenges of open data sharing. This qualitative study describes and analyzes how multidisciplinary, geographically distributed ocean scientists are integrating highly diverse data as part of an effort to develop a new research infrastructure to advance science. This paper identifies different kinds of coordination that are necessary to align processes of data collection, production, and analysis. Some of the hard work to integrate data is undertaken before data integration can even become a technical problem. After data integration becomes a technical problem, social and organizational means continue to be critical for resolving differences in assumptions, methods, practices, and priorities. This work calls attention to the diversity of coordinative, social, and organizational practices and concerns that are needed to integrate data and also how, in highly innovative work, the process of integrating data also helps to define scientific problem spaces themselves.