首页> 外国专利> SafeEShare - Devices assemble data records, from private and/or possibly sensitive sources, of type or types that may be useful for sharing in varying degrees with other interests that the owner hopefully recognizes operate with interests different and possibly even in conflict with his/her own.

SafeEShare - Devices assemble data records, from private and/or possibly sensitive sources, of type or types that may be useful for sharing in varying degrees with other interests that the owner hopefully recognizes operate with interests different and possibly even in conflict with his/her own.

机译:SafeEShare-设备从私人和/或可能的敏感来源收集数据记录,这些数据记录的类型可能有助于在不同程度上与其他利益共享,所有者希望识别出的利益与其他利益(甚至与他/她有冲突)拥有。

摘要

#$%^&*AU2020100425A420200423.pdf#####SafeEShare AUSTRALIA Patents Act 1990 ABSTRACT INNOVATION PATENT Devices assemble data records, from private and/or possibly sensitive sources, of type or types that may be useful for sharing in varying degrees with other interests that the owner hopefully recognizes operate with interests different and possibly even in conflict with his/her own. Onus of recognition remains with the data producer but functionality classifying, controlling and identifying data elements via hierarchies rests with the party most benefitting from its control including device level switching. Sharing restrictions are implemented via blockchain. Re-combination of different items of depersonalized data requires the cooperation of the person producing the original data. Re-sharing by DataAgencies of depersonalized data is assumed to be an allowable commercial imperative managed external to the system. The data model on the DataAgency side includes structures for measurement quality management, hierarchical classifications and boundary control.
机译:#$%^&* AU2020100425A420200423.pdf #####安全分享澳大利亚1990年专利法抽象创新专利设备从私人和/或可能敏感的来源收集可能对以下方面有用的类型的数据记录:与业主希望认可的其他利益有不同程度的共享,并且利益不同,甚至可能与他/她自己发生冲突。识别的责任仍然在于数据生产者,但功能通过层次结构对数据元素进行分类,控制和标识的一方最受益于该方控制,包括设备级别切换。共享限制通过区块链实现。重新组合个性化数据的不同项目需要原始数据生成者的配合。重新分享假定将去个性化数据的DataAgencies视为在企业外部管理的允许的商业命令系统。 DataAgency端的数据模型包括用于测量质量管理的结构,分层分类和边界控制。

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