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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.
Our Policies have been forged by steering committee discussion and voting over the past 2 years. At the current time our policies are as follows:
Policies of the ODC-SCI Staged BetaRelease (v.0.9) (1/5/2018)
Setting up a laboratory:
1. Anyone can create a laboratory, but only verified labs will be able view semi-private data
1. Data licenses: CC-BY for public data.(Reminder: CC-BY licensing allows reuse but requires original creditingauthors. Our polling at the FAIR-SCI Ahead workshop, suggested this should bethe default).
a.Owner will have to click to signify agreement; in the meantime, documentation in the form of email or other communication will be uploaded to the portal
b. At future time, we may give options for a range of minimally restrictivelicenses but not in the initial release