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PUBLIC RELEASE DATE:
29-Jul-2014

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Contact: Meng Zhao
eic@nrren.org
86-138-049-98773
Neural Regeneration Research

Facilitating transparency in spinal cord injury studies using recognized information standards

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Progress in developing robust therapies for spinal cord injury (SCI), traumatic brain injury (TBI) and peripheral nerve injury has been slow. A great deal has been learned over the past 30 years regarding both the intrinsic factors and the environmental factors that regulate axon growth, but this large body of information has not yet resulted in clinically available therapeutics. Prof. Lemmon and his team from University of Miami in USA proposed this therapeutic bottleneck has many root causes, but a consensus is emerging that one contributing factor is a lack of standards for experimental design and reporting. The absence of reporting standards, and even of commonly accepted definitions of key words, also make data mining and bioinformatics analysis of neural plasticity and regeneration difficult, if not impossible. These findings, published in the Neural Regeneration Research (Vol. 9, No. 1, 2014), this short review will consider relevant background and potential solutions to this problem in the axon regeneration domain.

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Article: " Facilitating transparency in spinal cord injury studies using data standards and ontologies " by Vance P. Lemmon1, 2, 3, Saminda Abeyruwan3, 4, Ubbo Visser3, 4 , John L. Bixby1, 2, 3, 5 (1 Department of Neurological Surgery, University of Miami, Miami, FL 33136, USA; 2 Miami Project to Cure Paralysis, University of Miami, Miami, FL 33136, USA; 3 Center for Computational Science, University of Miami, Miami, FL 33146, USA; 4 Department of Computer Science, University of Miami, Miami, FL 33146, USA; 5 Department of Molecular & Cellular Pharmacology, University of Miami, Miami, FL 33136, USA)

Lemmon VP, Abeyruwan S, Visser U, Bixby JL. Facilitating transparency in spinal cord injury studies using data standards and ontologies. Neural Regen Res. 2014;9(1):6-7.

Contact: Meng Zhao
eic@nrren.org
86-138-049-98773
Neural Regeneration Research
http://www.nrronline.org/



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