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Minimum Information about a Spinal Cord Injury Experiment: A Proposed Reporting Standard for Spinal Cord Injury Experiments
Journal article   Open access   Peer reviewed

Minimum Information about a Spinal Cord Injury Experiment: A Proposed Reporting Standard for Spinal Cord Injury Experiments

Vance P. Lemmon, Adam R. Ferguson, Phillip G. Popovich, Xiao-Ming Xu, Diane M. Snow, Michihiro Igarashi, Christine E. Beattie, John L. Bixby, MIASCI Consortium and John R Bethea
Journal of neurotrauma, v 31(15), pp 1354-1361
01 Aug 2014
PMID: 24870067
url
https://www.liebertpub.com/doi/pdf/10.1089/neu.2014.3400View
Published, Version of Record (VoR) Open
url
https://doi.org/10.1089/neu.2014.3400View
Published, Version of Record (VoR) Open

Abstract

Original Articles
The lack of reproducibility in many areas of experimental science has a number of causes, including a lack of transparency and precision in the description of experimental approaches. This has far-reaching consequences, including wasted resources and slowing of progress. Additionally, the large number of laboratories around the world publishing articles on a given topic make it difficult, if not impossible, for individual researchers to read all of the relevant literature. Consequently, centralized databases are needed to facilitate the generation of new hypotheses for testing. One strategy to improve transparency in experimental description, and to allow the development of frameworks for computer-readable knowledge repositories, is the adoption of uniform reporting standards, such as common data elements (data elements used in multiple clinical studies) and minimum information standards. This article describes a minimum information standard for spinal cord injury (SCI) experiments, its major elements, and the approaches used to develop it. Transparent reporting standards for experiments using animal models of human SCI aim to reduce inherent bias and increase experimental value.

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68 citations in Scopus

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Clinical Neurology
Critical Care Medicine
Neurosciences
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