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德国糖尿病研究的公平核心数据集之旅
Esther Thea Inau1, Angela Dedié2, Ivona Anastasova2
1Medical Informatics Laboratory, University Medicine Greifswald, Greifswald, Germany. inaue@uni-greifswald.de.
Scientific data
|October 21, 2024
概括
德国糖尿病研究中心 (DZD) FAIRified其核心数据集 (CDS) 以改善糖尿病研究数据共享. 这一过程提高了当前和未来研究的数据可重复使用性和可访问性.
科学领域:
- 糖尿病研究 糖尿病研究
- 数据科学数据科学数据科学
- 医疗信息学 医疗信息学
背景情况:
- 德国糖尿病研究中心 (DZD) 在2021年为糖尿病研究开发了一个核心数据集 (CDS).
- CDS对于设计当前和未来的DZD研究至关重要.
研究的目的:
- 描述使初始DZD核心数据集 (CDS) FAIR (可查找,可访问,可互操作,可重复使用) 的过程和结果.
- 改善糖尿病研究中的数据共享和可重复使用性.
主要方法:
- 使用FAIR数据成熟度模型进行基线公平性评估.
- 将CDS转换为推的电子表格格式.
- 用标准化医疗代码对参数进行注释.
- 授权数据集并以元数据丰富它.
- 对元数据进行索引.
主要成果:
- 公平化过程增强了CDS.
- FAIRified CDS更适合在DZD网站和国际上进行数据共享.
- 改善了健康研究数据的可访问性和可重复使用性.
结论:
- 对DZD核心数据集的 FAIRification显著提高了其适用于数据共享的适用性.
- 增强的CDS支持协作糖尿病研究,并促进健康研究研究的可重复使用性.
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