数据共享管理 Data sharing management

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数据共享管理是指在确保数据安全、保护隐私的前提下，通过合理的技术手段和管理措施促进数据的流通与使用。


有效的数据共享管理能够最大化数据的价值，同时保障数据提供者和使用者的权益.



Data sharing management refers to promoting the circulation and use of data through reasonable technical means and management measures, while ensuring data security and protecting privacy.

Effective data sharing management can maximize the value of data while safeguarding the rights and interests of data providers and users

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数据分类分级

• 数据分类：根据数据的性质、用途等对数据进行分类，如个人数据、企业数据、公共数据等。
• 数据分级：依据数据的敏感度、重要性等因素将数据分为不同的级别，不同级别的数据采取不同的保护措施。
  

Data classification and grading
Data classification: Classify data based on its nature, purpose, etc., such as personal data, enterprise data, public data, etc.
Data classification: Data is classified into different levels based on factors such as sensitivity and importance, and different protection measures are taken for data at different levels.

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数据共享政策制定

• 制定清晰的数据共享政策，明确数据共享的目的、范围、条件、流程等。
• 规范数据共享协议，包括数据使用权限、保密条款、责任划分等内容。
  

Data sharing policy formulation
Develop clear data sharing policies, specifying the purpose, scope, conditions, processes, etc. of data sharing.
Standardize data sharing agreements, including data usage permissions, confidentiality clauses, and responsibility allocation.

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技术支持与安全保障

• 使用加密技术保证数据传输过程中的安全性。
• 实施访问控制机制，确保只有授权用户才能访问特定数据。
• 应用脱敏技术，在不影响数据分析结果的情况下保护个人隐私.
  

Technical Support and Security Assurance
Use encryption technology to ensure the security of data transmission process.
Implement access control mechanisms to ensure that only authorized users can access specific data.
Applying desensitization technology to protect personal privacy without affecting data analysis results

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数据质量保证

• 建立数据质量管理机制，确保共享数据的准确性、完整性和一致性。
• 提供元数据说明，帮助使用者正确理解和使用数据。
  

data quality assurance
Establish a data quality management mechanism to ensure the accuracy, completeness, and consistency of shared data.
Provide metadata explanations to help users understand and use data correctly.

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