关于为OneAquaHealth设计一个公平的数据成熟度模型
Adriano Tramontano1, Arriel Benis2, Catherine Chronaki3
1National Research Council of Italy, Naples, Italy.
Studies in health technology and informatics
|October 3, 2025
概括
本研究详细介绍了一个定制的FAIR数据成熟度模型,用于评估数字对象在OneAquaHealth项目中符合FAIR原则 (可查找性,可访问性,可互操作性,可重复使用性),帮助未来的FAIR化工作.
科学领域:
- 数字健康数字健康
- 数据科学数据科学数据科学
- 信息科学 信息科学 信息科学
背景情况:
- 该OneAquaHealth项目产生了重要的数字物体,需要强大的数据管理.
- 确保这些物体遵守FAIR原则对于科学进步和合作至关重要.
研究的目的:
- 概述评估数字对象符合FAIR原则的过程.
- 为OneAquaHealth项目推出一个定制的FAIR数据成熟度模型.
- 在随后的项目阶段建立一个有效的 FAIRification 的基础.
主要方法:
- 开发一个定制的FAIR数据成熟度模型.
- 调整模型与项目特定特征以及一个数字健康框架.
- 模型的应用以评估主要数字对象的合规性.
主要成果:
- 已经描述了一个全面的过程来评估数字对象是否符合FAIR原则.
- 一个量身定制的FAIR数据成熟度模型已被设计和开发.
- 该模型作为指导 FAIRification 的教育工具.
结论:
- 定制的FAIR数据成熟度模型提供了一个结构化的方法来评估和改进数据的公平性.
- 这个模型支持OneAquaHealth项目的目标,即生产FAIR数字物体.
- 该模型的教育方面有助于持续的 FAIRification 和数据管理最佳实践.
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