People-powered data collaboratives: fueling data science with the health-related experiences of individuals

被引：7
|
作者：
Evans, Barbara J. [1 ,2 ]
Krumholz, Harlan M. [3 ,4 ,5 ]
机构：
[1] Univ Houston, Law Ctr, Houston, TX USA
[2] Univ Houston, Dept Elect & Comp Engn, Houston, TX USA
[3] Yale Sch Med, Dept Internal Med, Sect Cardiovasc Med, New Haven, CT USA
[4] Yale Sch Publ Hlth, Dept Hlth Policy & Management, New Haven, CT USA
[5] Yale New Haven Med Ctr, Ctr Outcomes Res & Evaluat, 20 York St, New Haven, CT 06504 USA
来源：
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | 2019年 / 26卷 / 02期
关键词：
data collaboratives; information dissemination; data access; data citizenship;
D O I：
10.1093/jamia/ocy159
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The creation of people-driven data collaboratives, with governance structures that enable participants to have a meaningful voice in issues surrounding the use of their own data, is a novel strategy to harness our growing capacity to develop and maintain immense data assets from the real health experiences of individuals.
引用
收藏
页码：159 / 161
页数：3
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