12/8/2023 0 Comments Download structure of neuronNeuronal arbors are imaged with a variety of microscopic techniques in thousands of laboratories worldwide, after staining with a multitude of labeling methods. The branching structure of axonal and dendritic trees profoundly affects synaptic integration, signal transmission, and network function. For the past decade, my research team has focused on a particularly “sharable” kind of data, digital reconstructions of axonal and dendritic morphology. Although different subdomains of neuroscience vary somewhat in their attitude toward data sharing, widespread adoption of data sharing practice will require a cultural shift in the community. In neuroscience, in contrast, data sharing is still practiced rarely, limiting the opportunity to accelerate the pace of research progress through secondary discovery. Research data are productively shared as a matter of course in many mature domains of science, including molecular biology, particle physics, and astronomy. Our experience as developers and curators of NeuroMorpho.Org suggests that greater transparency regarding the expectations and consequences of sharing (or not sharing) data, combined with public disclosure of which datasets are shared and which are not, may expedite the transition to community-wide data sharing. Even in this rare successful subfield, however, more data are still unshared than shared. Increased data availability is also catalyzing the grassroots development and spontaneous integration of complementary resources, research tools, and community initiatives. The popularity of the public repository NeuroMorpho.Org demonstrates that data sharing can benefit both users and contributors. Digital reconstructions of axonal and dendritic morphology constitute a particularly “sharable” kind of data. Although the attitude toward data sharing is non-uniform across neuroscience subdomains, widespread adoption of data sharing practice will require a cultural shift in the community. Neuroscience data, in contrast, are still rarely shared, greatly limiting the potential for secondary discovery and the acceleration of research progress. Routine data sharing is greatly benefiting several scientific disciplines, such as molecular biology, particle physics, and astronomy.
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