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October 20 - 21, 2023 | Minneapolis Hilton

J. Russell Huie, PhD
Associate Professional Researcher, University of California, San Francisco; Statistician, San Francisco Veterans Affairs Medical Center

Data Sharing and Reuse For Improved Translation of Spinal Cord Injury Research

The challenge in developing effective translational spinal cord injury research is due in part to data complexity. Spinal cord injury results in multifaceted syndromes spanning heterogeneous outcome measures and multiple scales of analysis. Making sense of this complexity requires unbiased reporting of all findings and pooling data across multiple labs and centers. Large-scale data resources and big-data tools have the potential to help. Our team has developed the Open Data Commons for Spinal Cord Injury (, a community-driven data sharing platform to help make complex spinal cord injury data manageable and reusable. The ODC-SCI is now the only spinal cord injury data sharing resource that has been endorsed by the National Institutes of Health as a repository that aligns with their new data management and sharing policy. The ODC-SCI is a pooled repository aimed at preclinical discovery, reproducibility testing, and translational discovery. This talk will focus on the latest developments, challenges, and opportunities in the ODC-SCI, and will highlight recent insights into how we can all benefit from data sharing and reuse to improve and facilitate translation of spinal cord injury research.

J. Russell Huie, PhD is an Associate Professional Researcher with the Brain and Spinal Injury Center in the Department of Neurosurgery at the University of California, San Francisco, and Statistician with the San Francisco Veterans Affairs Medical Center. Dr. Huie was trained in behavioral neuroscience focusing on plasticity and inflammation in preclinical spinal cord injury. He now works closely with the clinicians at the Zuckerberg San Francisco General Hospital on the Transforming Research and Clinical Knowledge for Spinal Cord Injury (TRACK-SCI) project, where he uses advanced analytics to better understand early  predictors of motor and sensory improvements after spinal cord injury. Dr. Huie is a member of the data analytics team at UCSF that has developed the NIH-endorsed Open Data Commons for Spinal Cord Injury, a community-driven data sharing platform that aims to improve rigor and reproducibility in spinal cord injury research.