title: Why sharing matters for electrophysiological data analysis.
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.
authors.affiliation: Computing Science and Mathematics, University of Stirling, Stirling FK9 4LA, UK. Electronic address: l.s.smith@cs.stir.ac.uk.
authors.forename: Leslie S
authors.initials: LS
authors.lastname: Smith
mesh_terms: D000818:Animals; D001921:Brain / Q000502:physiology*; D055724:Electrophysiological Phenomena / Q000502:physiology; D006801:Humans; D033181:Information Dissemination; D013223:Statistics as Topic / Q000379:methods*
keywords: Analysis tool sharing; Data sharing; Electrophysiology; Neuroinformatics; Repository