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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Sharing neurophysiology data from the Allen Brain Observatory.

Saskia E J de Vries1, Joshua H Siegle1, Christof Koch1

  • 1Allen Institute, Seattle, United States.

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Open data sharing in systems neuroscience is crucial for scientific trust but remains rare. The Allen Brain Observatory demonstrates the value of sharing neuronal activity data, leading to over 100 publications and identifying barriers to broader data reuse.

Keywords:
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Area of Science:

  • Neuroscience
  • Data Science
  • Scientific Publishing

Background:

  • The Royal Society's motto, 'Nullius in verba,' emphasizes empirical verification over authority.
  • Modern scientific complexity necessitates data sharing for replicability and trust.
  • Open data sharing is not yet standard practice in systems neuroscience.

Purpose of the Study:

  • To evaluate the Allen Brain Observatory's initiative in sharing systems neuroscience data.
  • To highlight the impact of open data on scientific discovery and validation.
  • To identify challenges and propose solutions for improving data sharing in neuroscience.

Main Methods:

  • Analysis of data and metadata from the Allen Brain Observatory's neuronal activity surveys in mice.
  • Review of publications and preprints utilizing the shared data.
  • Distillation of lessons learned regarding open data practices and reuse.

Main Results:

  • Data from the Allen Brain Observatory has facilitated new discoveries, computational algorithm validation, and comparative analyses.
  • Over 100 publications and preprints have resulted from the open data initiative.
  • Specific barriers to data sharing and reuse within systems neuroscience were identified.

Conclusions:

  • Open data sharing, exemplified by the Allen Brain Observatory, significantly enhances scientific reproducibility and discovery.
  • Addressing identified barriers is essential for broader adoption of open data practices in systems neuroscience.
  • Continued efforts in data sharing are vital for the advancement of empirical science.