STREET-FAIR a Bring-your-own Data Hackathon, Nov. 4, 2018, San Diego CA
Abstract: Spinal cord injury (SCI) produces a complex syndrome impacting sensory, motor, and autonomic function. The multifaceted nature of SCI presents a challenge for the therapeutic pipeline. The field needs a forum for large-scale data-indexing, data-sharing, and application of advanced analytics to facilitate and accelerate SCI discoveries and to predict outcome. To address this challenge, 13 collaborating labs assembled a multicenter, multispecies repository of SCI research data from N~4000 preclinical subjects. To make these data Findable, Accessible, Interoperable and Reusable (FAIR) we partnered with the Neuroscience Information Framework (NIF) to build a digital infrastructure called the Open Data Commons for Spinal Cord Injury (http://ODC-SCI.org). The overall goal of ODC-SCI is to democratize SCI data science, allowing outside users to access existing data, contribute new data, and enable expansion of user-friendly tools for analytics and SCI knowledge-discovery. We propose the INCF-supported workshop “SCI Team Research Enabling Expansion and Translation of FAIR (STREET FAIR)”. This course is designed to promote user experience with FAIR principles in the SCI community by: 1) providing an update to attendees on the continued development of the ODC-SCI portal and its support for FAIR, 2) demonstrating the benefits of FAIR data and an Open Data Commons, 3) encouraging even greater participation in the Open Data Commons by SCI scientists and the broader neurotrauma community.