A multimodal platform for cloud-based collaborative research

The need for sharing and analyzing large-scale data sets in scientific research has increased significantly over the last decade. Despite multiple efforts, there is currently no single platform that is widely used to search for, share, and perform custom data analysis over large numbers of TB-scale datasets using cloud technologies. We present a cloud-based portal and data integration/access platform to fulfill this need. The IEEG-Portal is being developed as a means to share and collaborate on projects containing large EEG datasets. It currently contains over 75 de-identified intracranial EEG datasets as well as imaging and associated meta-information, and a variety of datasets from animals. The IEEG-Portal is modular by design, which results in a highly extensible platform for neural data analysis on the cloud. In this paper, we highlight the current state of the portal infrastructure; its capabilities for fostering collaborative research and data-validation, and the challenges that are inherent to sharing and analyzing datasets using a global collaborative cloud-based platform.