This paper provides an overview of recent developments in big data in the context of
biomedical and health informatics. It outlines the key characteristics of big data and how …

Traumatic brain injury (TBI) is a significant clinical problem with few therapeutic interventions
successfully translated to the clinic. Increased importance on the progressive, long-term …

Data-driven discovery in complex neurological disorders has potential to extract meaningful
syndromic knowledge from large, heterogeneous data sets to enhance potential for …

Bosetti et al NINDS Workshop Recommendations 2633 academia, industry, the Food and
Drug Administration, and other public and private funding agencies. In the context of this …

Routine data sharing, defined here as the publication of the primary data and any supporting
materials required to interpret the data acquired as part of a research study, is still in its …

This report was produced by an Expert Working Group (EWG) consisting of UK-based
researchers, veterinarians and regulators of animal experiments with specialist knowledge …

In the aging western population, the average age of incidence for spinal cord injury (SCI)
has increased, as has the length of survival of SCI patients. This places great importance on …

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 …

This review is based on a lecture presented at the Craig H. Neilsen Foundation sponsored
Spinal Cord Injury Training Program at Ohio State University. We discuss the advantages …

Biomedical data are usually analyzed at the univariate level, focused on a single primary
outcome measure to provide insight into systems biology, complex disease states, and …