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 (NSF) and National Institute of Standards and Technologies (NIST), and the White House Office of Science and Technology Policy (OSTP), 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.

翻译：政府机构收集并管理着范围广泛且不断增长的数据集。尽管此类数据具备支持研究与循证决策制定的潜力，但人们担忧这些数据的传播可能侵犯数据来源个体（或组织）的隐私。为评估当前数据共享的现状，并探索加速推进数据共享的机遇，美国国家科学基金会（NSF）、国家标准与技术研究院（NIST）及白宫科技政策办公室（OSTP）于2021年5月21日与26日联合主办了一场线上研讨会。会议汇集了来自多国的研究人员与实践者，共同探讨数据共享中的实践经验，并了解近期发展的在数据共享同时保护隐私的管理技术。研讨会特别聚焦于各级政府数据共享面临的挑战与成功案例。首日议程重点关注新技术在公共数据共享中的成功应用实例，包括形式化隐私技术、合成数据及密码学方法。次日则着重围绕当前挑战及应对方向开展了头脑风暴会议。