{"title":"Open Sesame:R for Data Science is Open Science","authors":"C. Lortie","doi":"10.4033/IEE.2017.10.1.E","DOIUrl":null,"url":null,"abstract":"A review of a recent book on data science is framed within the context of open science. I propose that R is a natural bridge between data and open science and a powerful ally in promoting transparent, reproducible science.","PeriodicalId":42755,"journal":{"name":"Ideas in Ecology and Evolution","volume":" ","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2017-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4033/IEE.2017.10.1.E","citationCount":"3","resultStr":"{\"title\":\"Open Sesame: R for Data Science is Open Science\",\"authors\":\"C. Lortie\",\"doi\":\"10.4033/IEE.2017.10.1.E\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A review of a recent book on data science is framed within the context of open science. I propose that R is a natural bridge between data and open science and a powerful ally in promoting transparent, reproducible science.\",\"PeriodicalId\":42755,\"journal\":{\"name\":\"Ideas in Ecology and Evolution\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2017-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4033/IEE.2017.10.1.E\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ideas in Ecology and Evolution\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4033/IEE.2017.10.1.E\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"EVOLUTIONARY BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ideas in Ecology and Evolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4033/IEE.2017.10.1.E","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"EVOLUTIONARY BIOLOGY","Score":null,"Total":0}
A review of a recent book on data science is framed within the context of open science. I propose that R is a natural bridge between data and open science and a powerful ally in promoting transparent, reproducible science.
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