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Neuron. 2016 Nov 2;92(3):617-621. doi: 10.1016/j.neuron.2016.10.037.

Enabling an Open Data Ecosystem for the Neurosciences.

Author information

1
Department of Psychology, George Mason University, Fairfax, VA 22030, USA. Electronic address: mwiener@gmu.edu.
2
Redwood Center for Theoretical Neuroscience, University of California, Berkeley, Berkeley, CA 94720, USA.
3
Computer & Information Science Department, University of Pennsylvania, Philadelphia, PA 19104, USA.
4
Department of Psychology, Stanford University, Stanford, CA 94305, USA.
5
Penn Epilepsy Center, Departments of Neurology, Neurosurgery and Bioengineering, Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.

Abstract

As the pace and complexity of neuroscience data grow, an open data ecosystem must develop and grow with it to allow neuroscientists the ability to reach for new heights of discovery. However, the problems and complexities of neuroscience data sharing must first be addressed. Among the challenges facing data sharing in neuroscience, the problem of incentives, discoverability, and sustainability may be the most pressing. We here describe these problems and provide potential future solutions to help cultivate an ecosystem for data sharing.

KEYWORDS:

data sharing; discoverability; incentives; neuroscience; open data; sustainability

PMID:
27810004
DOI:
10.1016/j.neuron.2016.10.037
[Indexed for MEDLINE]
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