title: Win-win data sharing in neuroscience.
abstract: Most neuroscientists have yet to embrace a culture of data sharing. Using our decade-long experience at NeuroMorpho.Org as an example, we discuss how publicly available repositories may benefit data producers and end-users alike. We outline practical recipes for resource developers to maximize the research impact of data sharing platforms for both contributors and users.
authors.affiliation: Center for Neural Informatics, Structures, and Plasticity Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, USA.
authors.forename: Giorgio A
authors.initials: GA
authors.lastname: Ascoli
authors.affiliation: Center for Neural Informatics, Structures, and Plasticity Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, USA.
authors.forename: Patricia
authors.initials: P
authors.lastname: Maraver
authors.affiliation: Center for Neural Informatics, Structures, and Plasticity Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, USA.
authors.forename: Sumit
authors.initials: S
authors.lastname: Nanda
authors.affiliation: Center for Neural Informatics, Structures, and Plasticity Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, USA.
authors.forename: Sridevi
authors.initials: S
authors.lastname: Polavaram
authors.affiliation: Center for Neural Informatics, Structures, and Plasticity Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, USA.
authors.forename: Rubén
authors.initials: R
authors.lastname: Armañanzas
mesh_terms: D016208:Databases, Factual; D006801:Humans; D033181:Information Dissemination / Q000379:methods*; D020407:Internet; D009488:Neurosciences / Q000379:methods / Q000458:organization & administration