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相关概念视频

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

522
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
522

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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
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阶级性访问研究数据用于二次分析.

John E Marcotte1, Sarah Rush1, Kelly Ogden-Schuette1

  • 1University of Michigan.

The Journal of privacy and confidentiality
|September 6, 2024
PubMed
概括

由于重新识别风险增加,传统的公开或受限制的数据访问是不够的. 这项研究提出了七个数据访问层,以平衡研究需求与强有力的人类受试者保护.

科学领域:

  • 数据科学数据科学数据科学
  • 信息安全 信息安全
  • 研究伦理学研究伦理学

背景情况:

  • 研究数据的重新识别和损害风险越来越大,需要先进的访问控制.
  • 目前的公开和受限制访问模式对于细微的数据保护是不够的.
  • 确保人类受试者的保护需要更复杂的数据访问管理.

研究的目的:

  • 引入一个分层的研究数据访问系统.
  • 为减轻披露风险和确保数据管理提供一个框架.
  • 解决二进制数据访问分类的局限性.

主要方法:

  • 开发研究数据的七层访问控制模型.
  • 定义在每个层级对数据访问的要求不断增加,以减轻风险.
  • 建立适当数据处理和披露保护的标准.

主要成果:

  • 拟议的七层系统提供了对研究数据访问的细分控制.
  • 每个较高的级别都包含了对数据安全和管理的更严格要求.
  • 最高层确保了最大的安全性,但可能会限制研究的可访问性.

结论:

关键词:
机密数据 机密数据是一种保密的数据.数据的重复使用.有关敏感数据的敏感数据

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  • 多层次的访问系统对于平衡数据可访问性和参与者保护至关重要.
  • 存储库必须实施细微的访问控制,以支持研究,同时尽量减少损害.
  • 拟议的框架加强了数据安全,防止重新识别和滥用.