论文标题

用于更多公众使用隐私敏感的政府数据的路线图:研讨会报告

A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report

论文作者

Clifton, Chris, Malin, Bradley, Oganian, Anna, Raskar, Ramesh, Sharma, Vivek

论文摘要

政府机构收集和管理各种不断增长的数据集。尽管此类数据有可能支持研究和基于证据的政策制定,但人们担心此类数据可能会侵犯收集此类数据的个人(或组织)的隐私。为了评估当前数据共享状态,并了解了以更快的速度刺激这种共享的机会,由国家科学基金会和国家科学基金会和国家标准和技术研究所赞助的虚拟研讨会于2021年5月21日和26日举行,在此期间,跨国研究人员和实践者聚集在一起,以讨论他们的经验,以讨论他们的经验和跨性别技术。该研讨会专门针对各个级别的政府数据共享的挑战和成功。第一天的重点是将新技术的成功示例应用于共享公共数据,包括正式的隐私技术,合成数据和加密方法。第二天,在解决方案的一些挑战和方向上强调了集思广益的会议。

Government agencies collect and manage a wide range of ever-growing datasets. While such data has the potential to support research and evidence-based policy making, there are concerns that the dissemination of such data could infringe upon the privacy of the individuals (or organizations) from whom such data was collected. To appraise the current state of data sharing, as well as learn about opportunities for stimulating such sharing at a faster pace, a virtual workshop was held on May 21st and 26th, 2021, sponsored by the National Science Foundation and National Institute of Standards and Technologies, where a multinational collection of researchers and practitioners were brought together to discuss their experiences and learn about recently developed technologies for managing privacy while sharing data. The workshop specifically focused on challenges and successes in government data sharing at various levels. The first day focused on successful examples of new technology applied to sharing of public data, including formal privacy techniques, synthetic data, and cryptographic approaches. Day two emphasized brainstorming sessions on some of the challenges and directions to address them.

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