databases > DOI:10.25504/FAIRsharing.M6Ruz3
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ready Open Data Commons for Spinal Cord Injury


General Information
The Open Data Commons for Spinal Cord Injury is a cloud-based community-driven repository to store, share, and publish spinal cord injury research data. There are several challenges for scientific reproducibility and bench-to-bedside translation. For example, only research and data that are published actually get disseminated, a phenomenon known as publication bias. Published research reflects to only a small fraction of all data collected, and data that do not lead to publication are largely ignored, hidden away in filing cabinets and hard drives. This results in an abundance of inaccessible scientific data known as “dark data”. Even when research is disseminated, it is usually in the form of summary reports of aggregated data (e.g. averages across individual subjects) such as scientific articles. The fact that the individual subject-level data are inaccessible further contributes to dark data. The spinal cord injury (SCI) community created the ODC-SCI to mitigate dark data in SCI research. The ODC-SCI also aims to increase transparency with individual-level data, enhance collaboration, facilitate advanced analytics, and conform to increasing mandates by funders and publishers to make data accessible. Members of the ODC-SCI have access to a private digital lab space managed by the PI or multi-PIs for dataset storage and sharing. The PIs can share their labs’ datasets with the registered members of the ODC-SCI community and make their datasets public and citable. The ODC-SCI implements stewardship principles that scientific data be made FAIR (Findable, Accessible, Interoperable and Reusable) and has been widely adopted by the international SCI research community.


Countries that developed this resource Canada , United States

Created in 2017

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How to cite this record ODC-SCI; Open Data Commons for Spinal Cord Injury; DOI:; Last edited: April 21, 2021, 12:56 p.m.; Last accessed: Jan 25 2022 11:23 a.m.

This record is maintained by jgrethe  ORCID

Record added: March 13, 2021, 12:09 a.m.
Record updated: March 16, 2021, 9:35 a.m. by The FAIRsharing Team.

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FAIR SCI Ahead: The Evolution of the Open Data Commons for Pre-Clinical Spinal Cord Injury Research.

Fouad K,Bixby JL,Callahan A,Grethe JS,Jakeman LB,Lemmon VP,Magnuson DSK,Martone ME,Nielson JL,Schwab JM,Taylor-Burds C,Tetzlaff W,Torres-Espin A,Ferguson AR
J Neurotrauma 2019

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Developing a data sharing community for spinal cord injury research.

Callahan A,Anderson KD,Beattie MS,Bixby JL,Ferguson AR,Fouad K,Jakeman LB,Nielson JL,Popovich PG,Schwab JM,Lemmon VP
Exp Neurol 2017

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Topological data analysis for discovery in preclinical spinal cord injury and traumatic brain injury.

Nielson JL,Paquette J,Liu AW,Guandique CF,Tovar CA,Inoue T,Irvine KA,Gensel JC,Kloke J,Petrossian TC,Lum PY,Carlsson GE,Manley GT,Young W,Beattie MS,Bresnahan JC,Ferguson AR
Nat Commun 2015

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Big data from small data: data-sharing in the 'long tail' of neuroscience.

Ferguson AR,Nielson JL,Cragin MH,Bandrowski AE,Martone ME
Nat Neurosci 2014

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Development of a database for translational spinal cord injury research.

Nielson JL, et al
J Neurotrauma 2014

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Derivation of multivariate syndromic outcome metrics for consistent testing across multiple models of cervical spinal cord injury in rats.

Ferguson AR,Irvine KA,Gensel JC,Nielson JL,Lin A,Ly J,Segal MR,Ratan RR,Bresnahan JC,Beattie MS
PLoS One 2013

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Syndromics: a bioinformatics approach for neurotrauma research.

Ferguson AR,Stuck ED,Nielson JL
Transl Stroke Res 2011

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