INCF SIG on Reproducibility & Best Practice in neuroimaging

This SIG aims to collect, compile, synthesize and distribute information from groups and individuals working on separate projects but with reproducibility in neuroimaging as overarching theme

Contact info

Email: r-and-b-incfsig@googlegroups.com

Team

Tom Nichols (Chair) University of Warwick, UK
Cyril Pernet (Deputy Chair) University of Edinburgh, UK
Krzysztof Gorgolewski Stanford University, USA
Camille Maumet University of Warwick, UK
Jean Baptiste Poline University of California, Berkeley, USA
David Keator University of California, Irvine, USA

Description

About this SIG

The Reproducibility and Best practice in neuroimaging SIG aim is to collect, compile, synthesize and distribute information from groups and individuals working on separate projects but with reproducibility in neuroimaging as overarching theme. The idea is to keep information flowing between people as to avoid conflict between projects and have a unified vision of what is happening in the community. The SIG focus is human neuroimaging but its’ scope includes any related domain that allows reproducible research, for instance animal imaging or computational modelling.

Goals and outcomes

The SIG is foremost a venue for discussion from individuals working on separate projects (e.g. BIDS, NIDM, meta-analyses) but with reproducibility in neuroimaging as overarching theme. Immediate outcome will be webpages likely as a wiki format. A white paper is also possible.