【摘要】 随着大数据和云计算的发展，数据管理正在打破“数据孤岛”，从面向单域的孤立服务发展到跨域的数据共享与协同服务。基于公共数据授权运营框架，给出了跨域数据授权运营全链路结构，并探讨了跨域数据加工过程中数据隐私和效率的挑战。针对这些挑战，提出了集中式和隐私计算两种数据加工模式，能够在保护数据隐私的同时提高数据加工效率。最后，给出了一个实际场景下跨域数据授权运营平台的应用案例。更多还原

【Abstract】 With the development of big data and cloud computing, data management is breaking down "data silos" and developing from isolated services for single domain to cross-domain data sharing and collaborative services. Based on the public data authorization and operation framework, this paper presented the full-link structure of cross-domain data authorization and operation, and discussed the challenges of data privacy and efficiency in the cross-domain data processing. In response to these challenges, two data processing models, centralized and privacy computing, were proposed, which could improve data processing efficiency while protecting data privacy. Finally, an application case of a cross-domain data authorization operation platform in a practical scenario was given.更多还原