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Resource:CRCNS - Collaborative Research in Computational Neuroscience - Data sharing

Name: Resource:CRCNS - Collaborative Research in Computational Neuroscience - Data sharing
Description: To date we host and make available experimental data sets of high quality that will be valuable for testing computational models of the brain and new analysis methods. The data include physiological recordings from sensory and memory systems from a variety of species, as well as human eye movement data. In addition, this website hosts a forum for each data set and a general discussion forum.

The Collaborative Research in Computational Neuroscience (CRCNS) is a joint program of NSF and NIH that, since 2002, has supported integration of theoretical and experimental neuroscience through collaborative research projects typically involving two to five senior investigators. CRCNS has recently begun to offer funding for a new class of proposals focused on the sharing of data and other resources.

NSF solicited comments on data sharing from the research community in March 2007. Responses from the community suggested that while sharing of data, code, stimuli, and other resources are all highly desirable, sharing of experimental data represented a particularly acute need, which was not likely to be filled without leadership from within the research community, support by from funding agencies, and a concerted, organized effort. A first round of data sharing proposals was awarded in August 2007, and the first shared data resources will be made available publicly in March 2008. A broader call for proposals for data sharing and corpora development was included in a new release of the CRCNS solicitation in November 2007, to support the preparation and deployment of data, software, code bases, stimuli, or other resources that would be useful to a broad community of researchers.

Computational neuroscience is a subfield of neuroscience that develops models to integrate complex experimental data in order to understand brain function. To constrain and test computational models, researchers need access to a wide variety of experimental data. Much of those data are not readily accessible because neuroscientists fall into separate communities that study the brain at different levels and have not been motivated to provide data to researchers outside their community. To foster sharing of neuroscience data, a workshop was held in 2007, bringing together experimental and theoretical neuroscientists, computer scientists, legal experts and governmental observers. Computational neuroscience was recommended as an ideal field for focusing data sharing, and specific methods, strategies and policies were suggested for achieving it. A new funding area in the NSF/NIH Collaborative Research in Computational Neuroscience (CRCNS) program has been established to support data sharing, guided in part by the workshop recommendations. The new funding area is dedicated to the dissemination of high quality data sets with maximum scientific value for computational neuroscience. The first round of the CRCNS data sharing program supports the preparation of data sets which will be publicly available in 2008. These include electrophysiology and behavioral (eye movement) data.
Parent Organization: University of California at Berkeley; California; USA
Supporting Agency: National Science Foundation, NIH
Related to: NIF Data Federation
Resource Type(s): Data set, Data storage repository, Funding resource
Keywords: hippocampus, sensory system, eye movement, visual cortex, electrophysiology, data sharing
Grant: IIS-0749049
Abbreviation: CRCNS
Resource: Resource
URL: http://crcns.org
Id: nif-0000-00255
Link to OWL / RDF: Download this content as OWL/RDF

Curation status: Curated

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Facts about Resource:CRCNS - Collaborative Research in Computational Neuroscience - Data sharingRDF feed
AbbrevCRCNS  +
CurationStatuscurated  +
DefiningCitationhttp://crcns.org  +
DefinitionTo date we host and make available experim To date we host and make available experimental data sets of high quality that will be valuable for testing computational models of the brain and new analysis methods. The data include physiological recordings from sensory and memory systems from a variety of species, as well as human eye movement data. In addition, this website hosts a forum for each data set and a general discussion forum.

The Collaborative Research in Computational Neuroscience (CRCNS) is a joint program of NSF and NIH that, since 2002, has supported integration of theoretical and experimental neuroscience through collaborative research projects typically involving two to five senior investigators. CRCNS has recently begun to offer funding for a new class of proposals focused on the sharing of data and other resources.

NSF solicited comments on data sharing from the research community in March 2007. Responses from the community suggested that while sharing of data, code, stimuli, and other resources are all highly desirable, sharing of experimental data represented a particularly acute need, which was not likely to be filled without leadership from within the research community, support by from funding agencies, and a concerted, organized effort. A first round of data sharing proposals was awarded in August 2007, and the first shared data resources will be made available publicly in March 2008. A broader call for proposals for data sharing and corpora development was included in a new release of the CRCNS solicitation in November 2007, to support the preparation and deployment of data, software, code bases, stimuli, or other resources that would be useful to a broad community of researchers.

Computational neuroscience is a subfield of neuroscience that develops models to integrate complex experimental data in order to understand brain function. To constrain and test computational models, researchers need access to a wide variety of experimental data. Much of those data are not readily accessible because neuroscientists fall into separate communities that study the brain at different levels and have not been motivated to provide data to researchers outside their community. To foster sharing of neuroscience data, a workshop was held in 2007, bringing together experimental and theoretical neuroscientists, computer scientists, legal experts and governmental observers. Computational neuroscience was recommended as an ideal field for focusing data sharing, and specific methods, strategies and policies were suggested for achieving it. A new funding area in the NSF/NIH Collaborative Research in Computational Neuroscience (CRCNS) program has been established to support data sharing, guided in part by the workshop recommendations. The new funding area is dedicated to the dissemination of high quality data sets with maximum scientific value for computational neuroscience. The first round of the CRCNS data sharing program supports the preparation of data sets which will be publicly available in 2008. These include electrophysiology and behavioral (eye movement) data.
and behavioral (eye movement) data.
ExampleImageCrcns.png  +
GrantCategory:IIS-0749049   +
Has default formThis property is a special property in this wiki.Resource  +
Has roleData set  +, Data storage repository  +, and Funding resource  +
Idnif-0000-00255  +
Is part ofUniversity of California at Berkeley; California; USA  +
KeywordsHippocampus  +, Sensory system  +, Eye movement  +, Visual cortex  +, Electrophysiology  +, and Data sharing  +
LabelResource:CRCNS - Collaborative Research in Computational Neuroscience - Data sharing  +
ModifiedDate19 April 2012  +
Page has default formThis property is a special property in this wiki.Resource  +
RelatedToNIF Data Federation  +
Supporting AgencyNational Science Foundation  +, and National Institutes of Health  +