{"title":"Seeking and sharing datasets in an online community of data enthusiasts","authors":"Besiki Stvilia, Leila Gibradze","doi":"10.1016/j.lisr.2022.101160","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":47618,"journal":{"name":"Library & Information Science Research","volume":"44 3","pages":"Article 101160"},"PeriodicalIF":2.4000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Library & Information Science Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0740818822000238","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 1
Abstract
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.
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.