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    科学领域:

    • 数据科学数据科学数据科学
    • 数据使用中的伦理.
    • 数据对社会的影响数据的社会影响.

    背景情况:

    • 人们越来越担心数据利用的伦理影响和社会影响.
    • 需要标准化框架来评估与数据项目相关的公共价值和风险.
    • 数据团结原则作为公平数据治理的基础.

    研究的目的:

    • 介绍PLUTO (公共价值评估工具),这是一个评估数据使用公共价值的新框架.
    • 为各种利益相关者提供批判性评估数据项目的权力.
    • 鼓励人们思考数据利用所带来的风险和好处.

    主要方法:

    • 基于数据团结的结构化评估框架的开发.
    • 纳入定性风险效益分析,重点关注可操作的定量指标.
    • 由理论基础和初始用户反来告知代设计过程.

    主要成果:

    • 普鲁托为利益相关者提供了一个结构化的方法来参与数据项目.
    • 在将定性评估转化为定量,透明的指标时发现的挑战.
    • 最初的用户反表明了改善决策和问责制的潜力.

    结论:

    • 普鲁托为评估数据使用的公共价值提供了一个有前途的工具.
    • 该框架有可能促进负责任的数据实践和共同问责制.
    • 需要进一步发展,以完善度量翻译并确保包容性.