{"title":"揭开信息图的神秘面纱","authors":"A. Trost","doi":"10.29173/istl47","DOIUrl":null,"url":null,"abstract":"Data visualization is rapidly evolving and difficult to define. As a result, a research library’s role in supporting this work can be ambiguous. With infographics, for example, standard definitions do not exist, and there is not yet any consensus from the data visualization community around best practices for their creation. This column attempts to clarify some of this confusion by highlighting the spectrum of tools and techniques used for infographic creation.","PeriodicalId":39287,"journal":{"name":"Issues in Science and Technology Librarianship","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.29173/istl47","citationCount":"0","resultStr":"{\"title\":\"Demystifying Infographics\",\"authors\":\"A. Trost\",\"doi\":\"10.29173/istl47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data visualization is rapidly evolving and difficult to define. As a result, a research library’s role in supporting this work can be ambiguous. With infographics, for example, standard definitions do not exist, and there is not yet any consensus from the data visualization community around best practices for their creation. This column attempts to clarify some of this confusion by highlighting the spectrum of tools and techniques used for infographic creation.\",\"PeriodicalId\":39287,\"journal\":{\"name\":\"Issues in Science and Technology Librarianship\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.29173/istl47\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Issues in Science and Technology Librarianship\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29173/istl47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Issues in Science and Technology Librarianship","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29173/istl47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
Data visualization is rapidly evolving and difficult to define. As a result, a research library’s role in supporting this work can be ambiguous. With infographics, for example, standard definitions do not exist, and there is not yet any consensus from the data visualization community around best practices for their creation. This column attempts to clarify some of this confusion by highlighting the spectrum of tools and techniques used for infographic creation.
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