Sharing Neuron Data: Carrots, Sticks, and Digital Records
Giorgio A Ascoli
PLOS Biology, 2015, vol. 13, issue 10, 1-10
Abstract:
Routine data sharing is greatly benefiting several scientific disciplines, such as molecular biology, particle physics, and astronomy. Neuroscience data, in contrast, are still rarely shared, greatly limiting the potential for secondary discovery and the acceleration of research progress. 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. Digital reconstructions of axonal and dendritic morphology constitute a particularly “sharable” kind of data. The popularity of the public repository NeuroMorpho.Org demonstrates that data sharing can benefit both users and contributors. Increased data availability is also catalyzing the grassroots development and spontaneous integration of complementary resources, research tools, and community initiatives. Even in this rare successful subfield, however, more data are still unshared than shared. 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.Based on his long experience with digital reconstructions of neuronal morphologies, Giorgio Ascoli articulates the benefits and challenges of—and solutions for—changing the cultural resistance to data sharing in the neuroscience community.
Date: 2015
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002275 (text/html)
https://journals.plos.org/plosbiology/article/file ... 02275&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pbio00:1002275
DOI: 10.1371/journal.pbio.1002275
Access Statistics for this article
More articles in PLOS Biology from Public Library of Science
Bibliographic data for series maintained by plosbiology ().