Collaborating and sharing data in epilepsy research

Joost B. Wagenaar, Gregory A. Worrell, Zachary Ives, Dümpelmann Matthias, Brian Litt, Andreas Schulze-Bonhage

Research output: Contribution to journalReview articlepeer-review

39 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)235-239
Number of pages5
JournalJournal of Clinical Neurophysiology
Volume32
Issue number3
DOIs
StatePublished - Jun 3 2015

Keywords

  • Cloud computing
  • Data Repositories
  • Data sharing
  • EEG
  • Epilepsy

ASJC Scopus subject areas

  • Physiology
  • Neurology
  • Clinical Neurology
  • Physiology (medical)

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