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Social Informatics of Data Norms

机译:数据规范的社会信息学

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摘要

Big data has been widely promoted across disciplines and sectors for its potential to enhance lives and promote knowledge discovery. However, challenges arise at all stages of the data lifecycle due to the complexity of interactions between data and the contexts within which they are collected and managed, which has implications for interpretations of this data and eventual use of information and the creation of knowledge products from these data. Starting from the perspective of social informatics, this panel will discuss: the reciprocal relationships between data and context; specific challenges in distinct stages of data generation, data repository implementation, data curation, data use, and data reproducibility; and the implications of these challenges and their potential solutions for both social informatics research and society in general.
机译:跨学科和部门的大数据已被广泛促进其潜力,以提高生命,促进知识发现。然而,由于数据之间的相互作用的复杂性和它们被收集和管理的上下文而产生的数据生命周期的所有阶段出现的挑战,这对这些数据的解释具有影响并最终使用信息和知识产品的创建这些数据。从社会信息学的角度开始,本面板将讨论:数据与上下文之间的互惠关系;数据生成的不同阶段的特定挑战,数据存储库实现,数据策策,数据使用以及数据再现性;以及这些挑战的影响及其对社会信息学研究和社会的潜在解决方案。

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