在数据爱好者的在线社区中寻找和共享数据集

IF 2.4 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Besiki Stvilia, Leila Gibradze
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引用次数: 1

摘要

这项研究调查了Reddit上r/Datasets社区的讨论。它确定了社区参与的三种活动:问题回答、数据共享和社区建设。社区成员在其活动中使用了21种类型的数据和信息源。本研究的发现增强了我们对活动结构、所使用的数据和信息源的理解,以及当用户在传统信息和数据生态系统之外搜索、共享和理解网络上的数据集时遇到的挑战和问题。数据馆员和策展人可以在他们的数据管理和参考服务的设计中使用这项研究的结果。通过本研究开发的数据源类型和元数据模型可用于对数据源进行注释和分类,并为数据集的元数据模式和词汇表的设计提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seeking and sharing datasets in an online community of data enthusiasts

This study examined discussions of the r/Datasets community on Reddit. It identified three activities in which the community engaged: question answering, data sharing, and community building. Members of the community used 21 types of data and information sources in their activities. The findings of this research enhance our understanding of the activity structures, data and information sources used, and challenges and problems encountered when users search for, share, and make sense of datasets on the web, outside the traditional information and data ecosystems. Data librarians and curators can use the findings of this study in the design of their data management and reference services. The typology of data sources and the metadata model developed through this study can be used in annotating and categorizing data sources and informing the design of metadata schemas and vocabularies for datasets.

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来源期刊
Library & Information Science Research
Library & Information Science Research INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.60
自引率
6.90%
发文量
51
期刊介绍: Library & Information Science Research, a cross-disciplinary and refereed journal, focuses on the research process in library and information science as well as research findings and, where applicable, their practical applications and significance. All papers are subject to a double-blind reviewing process.
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