China Protects Data ? (Timestamps)

Privacy protection is a fundamental guarantee for secure data flows and the basic requirement for data security. A reasonable privacy protection system acts as a catalyst for unlocking the financial value of data. The current legislative framework for personal data protection in China, adhering to the principle of proportionality, establishes critical measures such as informed consent for data collection and processing, data classification and grading management, and remedies for data leakage and other risks. In addition, in judicial practice, typical disputes regarding personal information protection and privacy rights have been promoted to clarify the scope for collecting users’ personal information and biometric data. Although further improvements are needed in legislative, judicial, and technical approaches, China’s commitment and practice in personal data protection are noteworthy. The existing legislation, law enforcement, and technical practices play an increasingly vital role in realizing the financial value of data and are essential for international cooperation on privacy protection. Furthermore, it is crucial to actively explore cooperation mechanisms for cross-border data flows under the principle of data sovereignty, participate in developing international rules for cross-border data flows, and formulate different management norms for cross-border data flows across different industries.
Keywords: data flows; privacy protection; legislative framework; judicial practice; technical measures

AUTHOR/ARTICLE: Yang, Liping, Yiling Lin, and Bing Chen. 2024. Practice and Prospect of Regulating Personal Data Protection in China. Laws 13: 78. https://doi.org/10.3390/laws13060078

TIMESTAMPS:

00:00:00 - Protect Data
00:00:16 - Abstract
00:01:49 - 1. Introduction
00:02:11 - 2. Privacy Protection as the Fundamental Guarantee of Data Flows - 2.1. Promoting Secure Data Flows
00:10:08 - 2.2. Enhancement of Commercial Value of Data
00:12:24 - 3. China’s Regulatory Framework for Privacy Protection of Data Flows - 3.1. Basic Legislative Framework
00:14:55 - 3.1.2. Requirements for Data Collection and Processing: “Informed Consent”
00:16:50 - 3.1.3. Measures for Data Collection and Processing: Rules for the Data Classification and Grading System
00:18:13 - 3.1.4. Remedies for Data Flows: Notification—Protection
00:20:04 - 3.2. Typical Judicial Practice - 3.2.1. Extent to the Collection of User Personal Information
00:22:55 - 3.2.2. Boundaries of the Biometric Characteristic Information Collection
00:25:27 - 3.2.3. Summary and Analysis: Fewer Civil Public Interest Litigation Cases on Privacy Protection
00:30:53 - 4. The Prospect and Expectation of Privacy Protection in Data Flows in China
00:33:52 - 4.1. Legislation Perspective: Increasing Institutional Supply 4.1.1. Clarifying the Standards for Data Anonymization and Complying with the Principle of Proportionality
00:36:38 - 4.1.2. Strengthening Enterprises’ Disclosure Obligations and Optimizing the “Informed-Consent” Rule
00:39:07 - 4.1.3. Refining Data Classification and Grading Standards and Developing More Types of Protection Measures
00:40:14 - 4.1.4. Connecting Multiple Regulators and Building a Collaborative Mechanism
00:42:02 - 4.2. Judicial Perspective: Introducing Anti-Monopoly Civil Public Interest Litigation to Protect Data Privacy - 4.2.1. Data Privacy as a Non-Price Competition Factor
00:44:02 - 4.2.2. The Public Dimension of Violations of Data Privacy
00:44:17 - 4.2.3. Implementation Path of Anti-Monopoly Public Interest Litigation for Data Privacy
00:47:51 - 4.3. Technology Perspective: Establishing Data Flow Tracking Systems
00:48:42 - 4.3.1. Clarifying Multi-Party Tracking Subject
00:49:51 - 4.3.2. Authorizing Trackable Scope
00:50:49 - 4.3.3. Stipulating the Ownership of Derivative Data
00:51:41 - 4.4. International Perspective: Exploring a Cooperation Mechanism for Cross-Border Data Flows - 4.4.1. Establishing a Safety Valve Mechanism for Cross-Border Data Flows Under the Principle of Data Sovereignty
00:56:48 - 4.4.2. Participating in Developing International Rules for Cross-Border Data Flows
01:00:18 - 5. Summary

COPYRIGHT: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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