Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22530
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Why sharing matters for electrophysiological data analysis
Authors: Smith, Leslie
Contact Email: l.s.smith@cs.stir.ac.uk
Keywords: Electrophysiology
Data sharing
Analysis tool sharing
Repository
Neuroinformatics
Issue Date: Oct-2015
Publisher: Elsevier
Citation: Smith L (2015) Why sharing matters for electrophysiological data analysis, Brain Research Bulletin, 119 (Part B), pp. 145-149.
Abstract: We present the case for the sharing of electrophysiological datasets and tools for their analysis. Some of the problems, both sociological and technical, associated with improving the sharing of data and analysis tools are discussed. The work that has been done to try to improve data and code sharing in the electrophysiology area is reviewed. The sharing aspects of the current large projects in brain research are considered.
Type: Journal Article
URI: http://hdl.handle.net/1893/22530
DOI Link: http://dx.doi.org/10.1016/j.brainresbull.2015.06.009
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Computing Science - CSM Dept

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