title: The publication and reproducibility challenges of shared data.
abstract: The amount of shared data available for re-analysis has greatly increased in the last few years. Here we discuss some of the challenges raised by the analysis of these shared datasets and propose some strategies to address these issues.
authors.affiliation: Department of Psychology, Stanford University, Stanford, CA, USA. Electronic address: poldrack@stanford.edu.
authors.forename: Russell A
authors.initials: RA
authors.lastname: Poldrack
authors.affiliation: Henry H. Wheeler, Jr. Brain Imiging Center, Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA.
authors.forename: Jean-Baptiste
authors.initials: JB
authors.lastname: Poline
mesh_terms: D001319:Authorship; D066264:Datasets as Topic; D033181:Information Dissemination / Q000379:methods*; D015201:Meta-Analysis as Topic; D009488:Neurosciences / Q000379:methods; D011643:Publishing; D015203:Reproducibility of Results
keywords: cognitive neuroscience; data sharing; fMRI; meta-analysis; publication