Automates data mapping across different datasets or from a dataset on Alzheimer’s disease to a common data model. The GEM system automates data mapping by providing precise suggestions for data element mappings. It leverages the detailed metadata about elements in associated dataset documentation such as data dictionaries that are typically available with biomedical datasets. GEM allows researchers from around the world who have collected data on Alzheimer’s disease and aging to participate in a collaborative effort of data sharing.
Laboratory of Neuro Imaging, Keck School of Medicine, Stevens Neuroimaging and Informatics Institute, University of Southern California Los Angeles, CA, USA
GEM funding source(s)
GAAIN is funded by the Alzheimer’s Association. The Alzheimer’s Association’s support helped launch GAAIN in partnership with the Laboratory of Neuro Imaging (LONI) at the University of Southern California (USC) and the National Center for Alzheimer’s Disease Research and Care at the University of Geneva. The NIH Big Data to Knowledge (BD2K) grant (Award Number U54EB020406) helped fund the computational infrastructure to help build the GAAIN Platform.