The publication and reproducibility challenges of shared data

Russell A Poldrack; Jean-Baptiste Poline

doi:10.1016/j.tics.2014.11.008

The publication and reproducibility challenges of shared data

Trends Cogn Sci. 2015 Feb;19(2):59-61. doi: 10.1016/j.tics.2014.11.008. Epub 2014 Dec 17.

Authors

Russell A Poldrack¹, Jean-Baptiste Poline²

Affiliations

¹ Department of Psychology, Stanford University, Stanford, CA, USA. Electronic address: poldrack@stanford.edu.
² Henry H. Wheeler, Jr. Brain Imiging Center, Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA.

PMID: 25532702
DOI: 10.1016/j.tics.2014.11.008

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.

Keywords: cognitive neuroscience; data sharing; fMRI; meta-analysis; publication.

Publication types

Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Authorship
Datasets as Topic*
Information Dissemination / methods*
Meta-Analysis as Topic
Neurosciences / methods
Publishing*
Reproducibility of Results