Enabling an Open Data Ecosystem for the Neurosciences.
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.
Department of Psychology, George Mason University, Fairfax, VA 22030, USA. Electronic address: mwiener@gmu.edu.
Martin
M
Wiener
Redwood Center for Theoretical Neuroscience, University of California, Berkeley, Berkeley, CA 94720, USA.
Friedrich T
FT
Sommer
Computer & Information Science Department, University of Pennsylvania, Philadelphia, PA 19104, USA.
Zachary G
ZG
Ives
Department of Psychology, Stanford University, Stanford, CA 94305, USA.
Russell A
RA
Poldrack
Penn Epilepsy Center, Departments of Neurology, Neurosurgery and Bioengineering, Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Brian
B
Litt
D006801:Humans; D033181:Information Dissemination / Q000379:methods*; D009488:Neurosciences / Q000639:trends*
data sharing; discoverability; incentives; neuroscience; open data; sustainability