title: Sharing data in the global alzheimer's association interactive network.
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.
authors.affiliation: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90095, USA.
authors.forename: Scott C
authors.initials: SC
authors.lastname: Neu
authors.affiliation: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90095, USA.
authors.forename: Karen L
authors.initials: KL
authors.lastname: Crawford
authors.affiliation: 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.
authors.forename: Arthur W
authors.initials: AW
authors.lastname: Toga
mesh_terms: D000544:Alzheimer Disease; D016208:Databases, Factual; D006801:Humans; D033181:Information Dissemination / Q000379:methods*; D016247:Information Storage and Retrieval; D020407:Internet; D012106:Research; D012107:Research Design
keywords: Data repository; Data sharing; Federation; GAAIN; Neuroimaging