FAIR+R:通过定性元数据使临床数据可靠.
Caroline Bönisch1, Dorothea Kesztyüs1, Tibor Kesztyüs1
1Medical Data Integration Center, Department of Medical Informatics, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany.
元数据质量对于临床数据库中可靠的数据共享至关重要. 这项研究提出了九项措施,并为FAIR指导原则增加了第五个"可靠性"块,以更好地评估数据.
科学领域:
- 数据科学数据科学数据科学
- 信息科学 信息科学 信息科学
- 临床信息学 临床信息学
背景情况:
- 元数据对于研究人员访问数据存储库以进行二次使用至关重要.
- 由于自动生成和采集,元数据的数量正在增加.
- 目前存储库中的元数据质量往往低于其潜力,影响数据可靠性.
研究的目的:
- 确定评估临床护理存储库中元数据质量的措施.
- 建议扩展FAIR指导原则,包括数据可靠性.
- 为医疗数据集成中心 (MeDIC) 评估元数据质量奠定基础.
主要方法:
- 进行了广泛的文献审查,以确定元数据评估措施.
- 综合了研究结果,提出了九项对元数据评估的措施.
- 开发了数据可靠性的三个新原则,形成了FAIR指导原则的第五个块.
主要成果:
- 确定了评估临床数据库中元数据质量的九个关键措施.
- 提出了一个增强的 FAIR 指导原则框架,增加了一个可靠性的块.
- 建立了未来在MeDIC中进行元数据质量评估的基础.
结论:
- 元数据质量是确保二次使用可靠数据的关键组成部分.
- 拟议的可靠性原则增强了FAIR框架,促进了更可靠的数据.
- 这项工作为改善临床研究环境中的元数据质量和数据可访问性提供了基础.
更多相关视频
11:02Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
06:05The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
相关概念视频
Purpose of Health Records I
Here's a breakdown of how health records serve these purposes:
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Data Reporting and Recording
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...
Guidelines for Nursing Documentation I
Factual:
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.
Introduction to Documentation and Reporting
Nursing documentation records essential information and details regarding a patient's care and treatment in written or electronic form. It is a critical aspect of nursing practice that involves documenting assessments, interventions, outcomes, and other relevant details about a patient's health status.
Documentation maps the patient's health journey by creating a comprehensive...
