Sharing data in the global alzheimer's association interactive network

Scott C Neu; Karen L Crawford; Arthur W Toga

doi:10.1016/j.neuroimage.2015.05.082

Sharing data in the global alzheimer's association interactive network

Neuroimage. 2016 Jan 1;124(Pt B):1168-1174. doi: 10.1016/j.neuroimage.2015.05.082. Epub 2015 Jun 4.

Authors

Scott C Neu¹, Karen L Crawford¹, Arthur W Toga²

Affiliations

¹ Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90095, USA.
² Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90095, USA. Electronic address: toga@loni.usc.edu.

Abstract

The Global Alzheimer's Association Interactive Network (GAAIN) aims to be a shared network of research data, analysis tools, and computational resources for studying the causes of Alzheimer's disease. Central to its design are policies that honor data ownership, prevent unauthorized data distribution, and respect the boundaries of contributing institutions. The results of data queries are displayed in graphs and summary tables, which protects data ownership while providing sufficient information to view trends in aggregated data and discover new data sets. In this article we report on our progress in sharing data through the integration of geographically-separated and independently-operated Alzheimer's disease research studies around the world.

Keywords: Data repository; Data sharing; Federation; GAAIN; Neuroimaging.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Alzheimer Disease*
Databases, Factual
Humans
Information Dissemination / methods*
Information Storage and Retrieval
Internet
Research
Research Design

Abstract

Publication types

MeSH terms

Grants and funding