Facilitating transparency in spinal cord injury studies using data standards and ontologies

Progress in developing robust therapies for spinal cord injury （SCI）, trau- matic 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...

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Bibliographic Details
Published in:	Neural regeneration research 2014, Vol.9 (1), p.6-7
Main Authors:	Lemmon, Vance P, Abeyruwan, Saminda, Visser, Ubbo, Bixby, John L
Format:	Article
Language:	eng
Subjects:	Bias Data collection Data mining Experiments Library collections Medical research Medicine, Experimental Metadata Ontology R&D Relational data bases Research & development Research validity Researchers Resource Description Framework-RDF Scientists Semantic web Semantics Spinal cord injuries Traumatic brain injury Web Ontology Language-OWL 外周神经损伤本体标准生物信息神经可塑性脊髓损伤轴突再生透明度
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Summary:	Progress in developing robust therapies for spinal cord injury （SCI）, trau- matic 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 thera- peutics. This therapeutic bottleneck has many root causes, but a consensus is emerging that one contributing factor is a lack of standards for experi- mental 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. This short review will consider relevant background and poten- tial solutions to this problem in the axon regeneration domain.
ISSN:	1673-5374 1876-7958