公共卫生 公共卫生
Rory Chen1, Vibeke S Catts1, Ashleigh S Vella1
1Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney, Sydney, NSW, Australia.
全球衰老和痴呆研究探险器 (GLADSE) 集中了痴呆症研究数据,改善了可访问性和跨平台合作,以加快科学发现. 该工具增强了全球痴呆症研究平台的数据可寻性,可访问性,互操作性和可重复使用性 (FAIR).
科学领域:
- 老年学是指老年学的学科.
- 神经科学是一个神经科学.
- 数据科学数据科学数据科学
背景情况:
- 分散的痴呆症研究平台阻碍了数据的发现和重用.
- 研究人员面临着导航多个网站和手动编译元数据的挑战.
- 澳大利亚的Dementias平台,英国的Dementias平台和ADDI等现有平台强调FAIR数据原则,但缺乏统一的访问.
研究的目的:
- 开发一种综合解决方案,用于在多个平台上探索和比较痴呆症研究数据集.
- 在痴呆症研究中增强数据的可寻性,可访问性,互操作性和可重复使用性 (FAIR).
- 为了促进跨平台的协作和联合分析.
主要方法:
- 开发了全球衰老和痴呆症研究探索器 (GLADSE),这是一个开源的R Shiny应用程序.
- 使用C-SURV数据模型的主题和域收集和标准化元数据.
- 在golem框架下以R Shiny模块构建GLADSE,以实现模块化和可扩展性.
主要成果:
- 格拉德斯集中的元数据探索,使得数据集跨平台的直接比较.
- 该工具提供了一个带有过器,可视化和报告生成的交互式仪表板.
- 早期反表明数据发现,跨平台协作和联合分析能力得到了改进.
结论:
- 通过使数据公平,促进合作,GLADSE促进了痴呆症研究的发展.
- 未来的发展包括整合测量水平,成像和基因组元数据.
- 该工具最大限度地提高了对研究基础设施的公共投资,并支持痴呆症理解和治疗的进展.
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