适合“大数据”的数据保护框架Data protection frameworks fit for Big Data |
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课程网址: | http://videolectures.net/dataforum2014_cullen_data_protection/ |
主讲教师: | Peter Cullen |
开课单位: | 微软研究院 |
开课时间: | 2014-05-31 |
课程语种: | 英语 |
中文简介: | 数据正在迅速改变公司的运营方式,为他们提供了新的商业机会,因为他们通过对不断增加的信息库的分析产生了越来越复杂的见解。今天的技术支持的数据分析和使用正在为消费者、企业和社会提供丰富的增值场景和服务。企业显然已经从注重数据收集转向了数据使用,但数据用户和消费者在数据收集时没有足够的通知和同意模式来限制不当使用或实现适当的增值使用。灵活的系统包括为数据丰富的社会构建的较新的公共政策模型,配合可互操作的基于元数据的体系结构,允许权限和策略绑定到数据,灵活的权限系统吸引消费者,允许改变信任规范,帮助平衡用户和业务之间的紧张关系,满足监管者增加透明度的愿望,同时仍能使数据以向生态系统中所有参与者提供价值的方式流动。 |
课程简介: | Data is rapidly changing how companies operate, offering them new business opportunities as they generate increasingly sophisticated insights from the analysis of an ever-increasing pool of information. Today’s technology enabled data analysis and use are providing rich value added scenarios and services to consumers, business and society in general. Businesses have clearly moved beyond a focus on data collection to data use, but users of data and consumers have an inadequate model of notice and consent at the point of data collection to limit inappropriate use or enable appropriate and value added use. A flexible system encompassing a newer public policy model built for a data rich society, paired with an interoperable metadata-based architecture that allows permissions and policies to be bound to data, and a flexible permission system engaging consumers will allow for changing trust norms, help balance the tension between users and business, satisfy regulators’ desire for increased transparency, and still enable data to flow in ways that provide value to all participants in the ecosystem. |
关 键 词: | 数据; 公司的运营方式; 信息库; 数据分析 |
课程来源: | 视频讲座网 |
数据采集: | 2021-12-27:zkj |
最后编审: | 2021-12-27:zkj |
阅读次数: | 75 |