{"title":"从开放访问到谨慎信任","authors":"Yifei Wang","doi":"10.1145/3649305","DOIUrl":null,"url":null,"abstract":"The last decade witnessed the emergence and strengthening of data protection regulations. For software engineers, this new era poses a unique challenge: How do you maintain the precision and efficacy of your platforms when complete data access, one of your most potent tools, is gradually being taken off the table? The mission is clear: Reinvent the toolkit. The way we perceive, handle, and experiment with data needs a drastic overhaul to navigate this brave new world.","PeriodicalId":39042,"journal":{"name":"Queue","volume":"24 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"From Open Access to Guarded Trust\",\"authors\":\"Yifei Wang\",\"doi\":\"10.1145/3649305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The last decade witnessed the emergence and strengthening of data protection regulations. For software engineers, this new era poses a unique challenge: How do you maintain the precision and efficacy of your platforms when complete data access, one of your most potent tools, is gradually being taken off the table? The mission is clear: Reinvent the toolkit. The way we perceive, handle, and experiment with data needs a drastic overhaul to navigate this brave new world.\",\"PeriodicalId\":39042,\"journal\":{\"name\":\"Queue\",\"volume\":\"24 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Queue\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3649305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Queue","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3649305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
The last decade witnessed the emergence and strengthening of data protection regulations. For software engineers, this new era poses a unique challenge: How do you maintain the precision and efficacy of your platforms when complete data access, one of your most potent tools, is gradually being taken off the table? The mission is clear: Reinvent the toolkit. The way we perceive, handle, and experiment with data needs a drastic overhaul to navigate this brave new world.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
