Filed under commentary
Every brief tagged "commentary".
- § 13 · DATA-PROPERTY-RIGHTS
NDA Explains the Three-Rights Framework — A Plain-Language Walk-Through from the Regulator Itself
The National Data Administration's official 政策解读 (policy interpretation) on the three-rights framework — the right to hold, the right to use, and the right to operate data — established by the Data 20 Articles. NDA walks through what each right means, illustrative scenarios (group-company data subsidiaries; hospital-pharma research pools; data-broker commission arrangements), how the rights relate to each other (independently severable; non-exclusive across parties for the same data), and why the structural-separation design was chosen over a unitary-ownership model. The clearest available statement of the regulator's own intent on the framework that anchors every downstream rule — data-resource registration, data-property-rights registration, FTZ data-circulation negative lists, on-floor / over-the-counter trading rules.
- § 14 · DATA-PROPERTY-RIGHTS
Who Is the 'Data Processor' Under the Three-Rights Framework — NDA's Farm-Equipment Hypothetical
NDA's official 政策解读 on the threshold question that every three-rights allocation depends on: who is the 'data processor' and who is the 'information subject'? NDA uses a farm-equipment hypothetical — a farm rents tractor, irrigation, and fertilizer equipment from three different vendors; cultivation data is captured in the process — to work through who collects, who decides processing purposes, and how the property-rights regime balances the data-processor's commercial interest against the information-subject's rights to access copies of relevant data. The piece sketches the basic information-subject vs. data-processor dichotomy that anchors the entire downstream data-element regime, and surfaces the access-to-data right (data portability for commercial entities) that overseas counsel often miss.
- § 15 · DATA-PROPERTY-RIGHTS
Cloud, BPO, and Other Entrusted-Processing Arrangements: Why the Processor Doesn't Get the Rights
NDA's official 政策解读 on a tactically critical sub-question of the three-rights framework: when a data processor outsources storage, processing, or analysis to a third-party service provider — typical cloud, BPO, or e-government-system arrangements — does the entrusted party acquire any of the three property rights? NDA's clear answer: no. The entrusted processor (受托人) is not a 'data processor' in the property-rights sense — it merely executes instructions on behalf of the data processor (the principal). It cannot use the data outside the entrusted scope, cannot transfer the data into market circulation, and cannot apply the data to its own debt repayment or bankruptcy distribution. The line is anchored to the Civil Code's contract-of-mandate rules — a long-standing piece of Chinese commercial law extended cleanly into the data-element regime.
- § 16 · IMPORTANT-DATA
'Important Data' Is a Category, Not a Tier
Hong Yanqing argues the mainstream reading of Article 21 of the Data Security Law confuses enterprise asset-inventory language with state-level legal-interest protection — with real consequences for cross-border transfers, enforcement, and how PIPL and DSL stack.
- § 17 · FOREIGN-INVESTMENT-SECURITY-REVIEW
Why China Used Foreign Investment Security Review on Manus — Not Tech or Data Export
Hong Yanqing on Beijing's banning of Meta's Manus acquisition. The regulator's choice of pathway — Foreign Investment Security Review, not Technology or Data Export — signals a shift from 'transaction-level' to 'capability-level' oversight of frontier AI projects, with implications for any overseas tech investment touching China.
- § 18 · TOKENS
Cold Water on 'Token Trading' — Wang Qinglan on the NDA's High-Quality Data Set Initiative
In March 2026, the National Data Administration released the *Implementation Plan for Promoting High-Quality Industry Data Set Construction (Draft for Public Consultation)*, which explores a 'token (词元) based value system' and 'token trading as a new transaction mode' for high-quality data sets. The Chinese AI policy community immediately heralded the move as 'revolutionizing data trading.' Wang Qinglan pours cold water: token is a measuring unit, not a magic transformer. AI tokens are not crypto tokens. The bottleneck in China's data-element market isn't measurement — it's supply, rights clarity, compliance cost, and data silos.