The Neural Engineering Data Consortium (NEDC) launched to focus the research community on high-impact, common-interest neural engineering research questions. Critically, the NEDC will also generate and curate massive data sets to support statistically significant data-driven solutions to those problems. Competition-based evaluations on common data will drive progress by incentivizing innovation, especially from unfunded groups that are unable to generate their own data. NEDC's first dataset is the Temple University Hospital EEG Corpus (TUH-EEG), which is the world's largest publicly available database of clinical EEG data.