TY - JOUR
T1 - Collaborating and sharing data in epilepsy research
AU - Wagenaar, Joost B.
AU - Worrell, Gregory A.
AU - Ives, Zachary
AU - Matthias, Dümpelmann
AU - Litt, Brian
AU - Schulze-Bonhage, Andreas
N1 - Publisher Copyright:
Copyright © 2015 by the American Clinical Neurophysiology Society.
PY - 2015/6/3
Y1 - 2015/6/3
N2 - 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.
AB - 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.
KW - Cloud computing
KW - Data Repositories
KW - Data sharing
KW - EEG
KW - Epilepsy
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U2 - 10.1097/WNP.0000000000000159
DO - 10.1097/WNP.0000000000000159
M3 - Review article
C2 - 26035676
AN - SCOPUS:84930339682
SN - 0736-0258
VL - 32
SP - 235
EP - 239
JO - Journal of Clinical Neurophysiology
JF - Journal of Clinical Neurophysiology
IS - 3
ER -