{"title":"数据文件级的信息访问:文件级数据库查询过程的文档先决条件","authors":"Per Nielsen","doi":"10.1145/1102974.1102978","DOIUrl":null,"url":null,"abstract":"In the mid-sixties, political and social science was theory-rich and data-poor. [1] In the decade following this statement, the ever-increasing holdings of machine-readable datasets in a growing chain of data repositories throughout the world have made the social science community much more wealthy. But, the vast scientific potential buried in data repositories is being transformed only at a slow pace. In the mid-seventies, quantitative data generated by empirical political and social science research are still heavily underexploited.","PeriodicalId":129356,"journal":{"name":"ACM Sigsoc Bulletin","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1974-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Information access at the data file level: documentation prerequisites on the file-level data base inquiry process\",\"authors\":\"Per Nielsen\",\"doi\":\"10.1145/1102974.1102978\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the mid-sixties, political and social science was theory-rich and data-poor. [1] In the decade following this statement, the ever-increasing holdings of machine-readable datasets in a growing chain of data repositories throughout the world have made the social science community much more wealthy. But, the vast scientific potential buried in data repositories is being transformed only at a slow pace. In the mid-seventies, quantitative data generated by empirical political and social science research are still heavily underexploited.\",\"PeriodicalId\":129356,\"journal\":{\"name\":\"ACM Sigsoc Bulletin\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1974-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Sigsoc Bulletin\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1102974.1102978\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Sigsoc Bulletin","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1102974.1102978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Information access at the data file level: documentation prerequisites on the file-level data base inquiry process
In the mid-sixties, political and social science was theory-rich and data-poor. [1] In the decade following this statement, the ever-increasing holdings of machine-readable datasets in a growing chain of data repositories throughout the world have made the social science community much more wealthy. But, the vast scientific potential buried in data repositories is being transformed only at a slow pace. In the mid-seventies, quantitative data generated by empirical political and social science research are still heavily underexploited.