Department of Psychology, George Mason University, Fairfax, VA 22030, USA.
Redwood Center for Theoretical Neuroscience, University of California, Berkeley, Berkeley, CA 94720, USA.
Neuron. 2016 Nov 2;92(3):617-621. doi: 10.1016/j.neuron.2016.10.037.
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.
随着神经科学数据的发展和复杂性的增加，开放数据生态系统必须与之共同发展，以允许神经科学家能够达到新的发现高度。然而，神经科学数据共享的问题和复杂性首先必须得到解决。在神经科学数据共享面临的挑战中，激励、可发现性和可持续性问题可能是最紧迫的。我们在这里描述了这些问题，并提供了潜在的未来解决方案，以帮助培养数据共享的生态系统。
