TapTechNews August 22nd news, the China Academy of Information and Communications Technology announced today that it will join forces with enterprises such as Alibaba to build a consensus in the industry and jointly develop data anonymization standards, and organize the implementation of anonymization standard pilot work, and now it is collecting the first batch of standard pilot units for the industry.
The pilot goal is to assess the re-identification risk in the anonymized data transaction and circulation scenarios, determine the effectiveness of anonymization measures, help data circulation entities overcome security compliance concerns, facilitate the implementation of anonymized data circulation and transaction scenarios, and further unlock the value of enterprise data.
In terms of pilot objects, enterprises, organizations, institutions, etc. of data providers or data recipients can all sign up for the pilot work. Pilot units need to provide specific anonymized data circulation and transaction scenarios for evaluation, including the necessary information of the traded anonymized data set, as well as the necessary information of the data provider and data recipient, etc.
TapTechNews learned that with the extensive application of data elements in the digital economy, data security and privacy protection issues have gradually emerged, and ensuring the security of data element circulation and transaction has become an important prerequisite for building a national integrated data element market. Anonymization is one of the important measures to guarantee the security of data element transaction and circulation. The Personal Information Protection Law clearly states that anonymization means the process by which personal information is processed so that a specific natural person cannot be identified and cannot be restored.
The Civil Code, the Cybersecurity Law, etc. all exclude anonymized data from personal information, making it possible for personal information to be circulated and traded safely, compliantly, and efficiently after anonymization treatment.