期刊
ALZHEIMER DISEASE & ASSOCIATED DISORDERS
卷 30, 期 2, 页码 160-168出版社
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/WAD.0000000000000121
关键词
Alzheimer disease data sharing; data integration; integrated data analysis
资金
- Alzheimer's Association [003278-0001]
- Laboratory of Neuro Imaging Resource (LONIR) NIH [P41EB015922]
- National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health [U54EB020406]
Many investigators recognize the importance of data sharing; however, they lack the capability to share data. Research efforts could be vastly expanded if Alzheimer disease data from around the world was linked by a global infrastructure that would enable scientists to access and utilize a secure network of data with thousands of study participants at risk for or already suffering from the disease. We discuss the benefits of data sharing, impediments today, and solutions to achieving this on a global scale. We introduce the Global Alzheimer's Association Interactive Network (GAAIN), a novel approach to create a global network of Alzheimer disease data, researchers, analytical tools, and computational resources to better our understanding of this debilitating condition. GAAIN has addressed the key impediments to Alzheimer disease data sharing with its model and approach. It presents practical, promising, yet, data owner-sensitive data-sharing solutions.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据