{"title":"每个车库都有两个数据库:信息质量系统。","authors":"J. C. Worthington","doi":"10.1080/10529410052852385","DOIUrl":null,"url":null,"abstract":"Enterprises, including Federal agencies such as the U.S. Environmental Protection Agency (EPA), are now identifying their information as a strategic resource. As part of a new strategy, enterprises address quality system planning. This technical paper presents some of EPA's approaches and techniques for reconciling quality system considerations for science and technical activities with quality system considerations for information technology and resources. Identification of key information quality indicators, management processes, and assessment processes are addressed.","PeriodicalId":20856,"journal":{"name":"Quality assurance","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2000-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Two data bases in every garage: information quality systems.\",\"authors\":\"J. C. Worthington\",\"doi\":\"10.1080/10529410052852385\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Enterprises, including Federal agencies such as the U.S. Environmental Protection Agency (EPA), are now identifying their information as a strategic resource. As part of a new strategy, enterprises address quality system planning. This technical paper presents some of EPA's approaches and techniques for reconciling quality system considerations for science and technical activities with quality system considerations for information technology and resources. Identification of key information quality indicators, management processes, and assessment processes are addressed.\",\"PeriodicalId\":20856,\"journal\":{\"name\":\"Quality assurance\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quality assurance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/10529410052852385\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality assurance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10529410052852385","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two data bases in every garage: information quality systems.
Enterprises, including Federal agencies such as the U.S. Environmental Protection Agency (EPA), are now identifying their information as a strategic resource. As part of a new strategy, enterprises address quality system planning. This technical paper presents some of EPA's approaches and techniques for reconciling quality system considerations for science and technical activities with quality system considerations for information technology and resources. Identification of key information quality indicators, management processes, and assessment processes are addressed.
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