Electroencephalography (EEG) is a non-invasive method for measuring neural activity across a wide range of clinical and basic research contexts, including the detecting of seizures, studies of sleep patterns, and research on the cognitive and neural bases of language recognition. EEG research faces a number of computational challenges, relating to the abundance of experimental data and a paucity of organizational tools. To address these issues, we create a data storage and management system. This system includes a collaborative neuroscience repository called the APECS Portal. This thesis responds to the question: how do we design a collaborative repository for the digital artifacts required for EEG /ERP analysis?