Spinal cord injury (SCI) produces a complex syndrome characterized by loss of motor control and mobility; loss of bladder, bowel and sexual function; pathological pain; and loss of autonomy. The multifaceted nature of SCI presents a challenge for the SCI translational therapeutic pipeline. This problem of SCI complexity can be conceptualized as a big-data issue: the field needs a forum for large-scale data-indexing, data-sharing, and application of advanced analytics to catalyze SCI discoveries. To address this challenge our team has begun assembling a large multicenter, multispecies database of SCI research data spanning across a wide spectrum of SCI severities, treatments and outcomes. To fully harness the potential of SCI big-data we are building a digital infrastructure to democratize SCI data science, allowing outside researchers to access existing SCI big-data, contribute their own data, and enable access to user-friendly tools for big-data analytics for knowledge discovery within SCI research.