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J Clin Neurophysiol. 2015 Jun;32(3):235-9. doi: 10.1097/WNP.0000000000000159.

Collaborating and sharing data in epilepsy research.

Author information

1
*Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A.; †Department of Neurology, Mayo Clinic, Mayo Systems Electrophysiology Lab, Rochester, Minnesota, U.S.A.; ‡Department of Computer and Information Science, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A.; §Department of Epileptology, University Hospital Freiburg, Freiburg, Germany; and ‖Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A.

Erratum in

  • J Clin Neurophysiol. 2016 Feb;33(1):77. Matthias, Dümpelmann [corrected to Dümpelmann, Matthias].

Abstract

Technological advances are dramatically advancing translational research in Epilepsy. Neurophysiology, imaging, and metadata are now recorded digitally in most centers, enabling quantitative analysis. Basic and translational research opportunities to use these data are exploding, but academic and funding cultures prevent this potential from being realized. Research on epileptogenic networks, antiepileptic devices, and biomarkers could progress rapidly if collaborative efforts to digest this "big neuro data" could be organized. Higher temporal and spatial resolution data are driving the need for novel multidimensional visualization and analysis tools. Crowd-sourced science, the same that drives innovation in computer science, could easily be mobilized for these tasks, were it not for competition for funding, attribution, and lack of standard data formats and platforms. As these efforts mature, there is a great opportunity to advance Epilepsy research through data sharing and increase collaboration between the international research community.

PMID:
26035676
PMCID:
PMC4455031
DOI:
10.1097/WNP.0000000000000159
[Indexed for MEDLINE]
Free PMC Article

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