Toward Community-Driven Big Open Brain Science: Open Big Data and Tools for Structure, Function, and Genetics

Adam S. Charles, Benjamin Falk, Nicholas Turner, Talmo D. Pereira, Daniel Tward, Benjamin D. Pedigo, Jaewon Chung, Randal Burns, Satrajit S. Ghosh, Justus M. Kebschull, William Silversmith, Joshua T. Vogelstein

Research output: Contribution to journalReview articlepeer-review

Abstract

As acquiring bigger data becomes easier in experimental brain science, computational and statistical brain science must achieve similar advances to fully capitalize on these data. Tackling these problems will benefit from a more explicit and concerted effort to work together. Specifically, brain science can be further democratized by harnessing the power of community-driven tools, which both are built by and benefit from many different people with different backgrounds and expertise. This perspective can be applied across modalities and scales and enables collaborations across previously siloed communities.

Original languageEnglish (US)
Pages (from-to)441-464
Number of pages24
JournalAnnual review of neuroscience
Volume43
DOIs
StatePublished - Jul 8 2020
Externally publishedYes

Keywords

  • computational
  • infrastructure
  • reference data
  • statistics

ASJC Scopus subject areas

  • General Neuroscience

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