{"title":"数据文档计划(DDI)","authors":"Joachim Wackerow","doi":"10.18452/1273","DOIUrl":null,"url":null,"abstract":"The Data Documentation Initiative (DDI) is an international effort to establish an XML-based standard for the compilation, presentation, and exchange of documentation for datasets in the social and behavioral sciences. The most recent version 3.0 of the DDI supports a rich and structured set of metadata elements that not only fully informs a potential data analyst about a given dataset but also facilitates computer processing of the data. Moreover, data producers will find that by adopting the DDI standard they can produce better and more complete documentation as a natural step in designing and fielding computer-assisted interviewing.","PeriodicalId":122537,"journal":{"name":"Dublin Core Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"The Data Documentation Initiative (DDI)\",\"authors\":\"Joachim Wackerow\",\"doi\":\"10.18452/1273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Data Documentation Initiative (DDI) is an international effort to establish an XML-based standard for the compilation, presentation, and exchange of documentation for datasets in the social and behavioral sciences. The most recent version 3.0 of the DDI supports a rich and structured set of metadata elements that not only fully informs a potential data analyst about a given dataset but also facilitates computer processing of the data. Moreover, data producers will find that by adopting the DDI standard they can produce better and more complete documentation as a natural step in designing and fielding computer-assisted interviewing.\",\"PeriodicalId\":122537,\"journal\":{\"name\":\"Dublin Core Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dublin Core Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18452/1273\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dublin Core Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18452/1273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Data Documentation Initiative (DDI) is an international effort to establish an XML-based standard for the compilation, presentation, and exchange of documentation for datasets in the social and behavioral sciences. The most recent version 3.0 of the DDI supports a rich and structured set of metadata elements that not only fully informs a potential data analyst about a given dataset but also facilitates computer processing of the data. Moreover, data producers will find that by adopting the DDI standard they can produce better and more complete documentation as a natural step in designing and fielding computer-assisted interviewing.