title: Domain-specific data sharing in neuroscience: what do we have to learn from each other?
abstract: Molecular biology and genomics have made notable strides in the sharing of primary data and resources. In other domains of neuroscience research, however, there has been resistance to adopting formalized strategies for data exchange, archiving, and availability. In this article, we discuss how neuroscience domains might follow the lead of molecular biology on what has been successful and what has failed in active data sharing. This considers not only the technical challenges but also the sociological concerns in making it possible. Though, not a pain-free process, with increased data availability, scientists from multiple fields can enjoy greater opportunity for novel discoveries about the brain in health and disease.
authors.affiliation: Laboratory of Neuro Imaging (LONI), Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, 635 Charles E. Young Drive SW, Suite 225, Los Angeles, CA 90095-7334, USA. jvanhorn@loni.ucla.edu
authors.forename: John Darrell
authors.initials: JD
authors.lastname: Van Horn
authors.forename: Catherine A
authors.initials: CA
authors.lastname: Ball
mesh_terms: D022126:Access to Information; D000818:Animals; D019295:Computational Biology / Q000941:ethics / Q000592:standards / Q000639:trends*; D016208:Databases, Factual / Q000941:ethics / Q000592:standards / Q000639:trends*; D030541:Databases, Genetic / Q000941:ethics / Q000592:standards / Q000639:trends*; D023281:Genomics / Q000941:ethics / Q000592:standards / Q000639:trends; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000941:ethics / Q000592:standards / Q000639:trends; D033183:Interdisciplinary Communication; D015201:Meta-Analysis as Topic; D009488:Neurosciences / Q000941:ethics / Q000592:standards / Q000639:trends*