Data Scraping Encyclopedia>Data Scraping Noun> Data Sovereignty

Data Sovereignty | Web Scraping Tool | ScrapeStorm

2025-06-24 19:35:08

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Abstract：Data sovereignty refers to a country's supreme authority and control over data and data processing activities generated within its territory, covering data ownership and jurisdiction. ScrapeStormFree Download

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Introduction

Data sovereignty refers to a country’s supreme authority and control over data and data processing activities generated within its territory, covering data ownership and jurisdiction. That is, a country has legal and regulatory autonomy over data generated, stored, transmitted, processed and used within its jurisdiction, and can independently decide the rules for data collection, storage, use and cross-border flow.

Applicable Scene

It is applicable to high-compliance scenarios such as finance and healthcare, ensuring that data is processed within the legal framework of the country and avoiding compliance risks caused by cross-border flows.

Pros: Ensure that data is subject to national laws, protect data from infringement, tampering, destruction and other risks, ensure the independence and authenticity of data, reduce the risk of data leakage, and meet the requirements of high-compliance industries. It will help the country maintain its core interests and security and stability, build a fair and orderly data governance environment, ensure data security, stabilize the economic environment, promote the development of industries in all industries in the whole society, and promote economic transformation.

Cons: Emphasizing that data is within the jurisdiction of a country may lead to certain obstacles in the flow of data between countries, which is not conducive to the global sharing and coordinated use of data. The mobility, dispersion and fragmentation of data make it difficult to constrain it within the scope of geographic space. In addition, the long-standing tradition of self-regulation in cyberspace has excluded sovereign governments from participating in the global data governance system. The implementation of data sovereignty faces many challenges, including technical and institutional challenges.