Open and reproducible neuroimaging: From study inception to publication
Guiomar Niso,
Rotem Botvinik-Nezer,
Stefan Appelhoff,
Alejandro De La Vega,
Oscar Esteban,
Joset A. Etzel,
Karolina Finc,
Melanie Ganz,
Rémi Gau,
Yaroslav O. Halchenko,
Peer Herholz,
Agah Karakuzu,
David B. Keator,
Christopher J. Markiewicz,
Camille Maumet,
Cyril R. Pernet,
Franco Pestilli,
Nazek Queder,
Tina Schmitt,
Weronika Sójka,
Adina S. Wagner,
Kirstie J. Whitaker,
Jochem W. Rieger
Affiliations
Guiomar Niso
Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA; Universidad Politecnica de Madrid, Madrid and CIBER-BBN, Spain; Instituto Cajal, CSIC, Madrid, Spain; Corresponding author at: Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA.
Rotem Botvinik-Nezer
Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA; Corresponding author at: Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.
Stefan Appelhoff
Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
Alejandro De La Vega
Department of Psychology, University of Texas at Austin, Austin, TX, USA
Oscar Esteban
Dept. of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Department of Psychology, Stanford University, Stanford, CA, USA
Joset A. Etzel
Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
Karolina Finc
Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland
Melanie Ganz
Neurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
Rémi Gau
Institute of Psychology, Université catholique de Louvain, Louvain la Neuve, Belgium
Yaroslav O. Halchenko
Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
Peer Herholz
Montreal Neurological Institute-Hospital, McGill University, Montréal, Quebec, Canada
Agah Karakuzu
Biomedical Engineering Institute, Polytechnique Montréal, Montréal, Quebec, Canada; Montréal Heart Institute, Montréal, Quebec, Canada
David B. Keator
Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
Christopher J. Markiewicz
Department of Psychology, Stanford University, Stanford, CA, USA
Camille Maumet
Inria, Univ Rennes, CNRS, Inserm – IRISA UMR 6074, Empenn ERL U 1228, Rennes, France
Cyril R. Pernet
Neurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark
Franco Pestilli
Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA; Department of Psychology, The University of Texas at Austin, Austin, TX, USA
Nazek Queder
Montreal Neurological Institute-Hospital, McGill University, Montréal, Quebec, Canada; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
Tina Schmitt
Neuroimaging Unit, Carl-von-Ossietzky Universität, Oldenburg, Germany
Weronika Sójka
Faculty of Philosophy and Social Sciences, Nicolaus Copernicus University, Toruń, Poland
Adina S. Wagner
Institute for Neuroscience and Medicine, Research Centre Juelich, Germany
Kirstie J. Whitaker
The Alan Turing Institute, British Library, London, UK
Jochem W. Rieger
Neuroimaging Unit, Carl-von-Ossietzky Universität, Oldenburg, Germany; Department of Psychology, Carl-von-Ossietzky Universität, Oldenburg, Germany; Corresponding author at: Department of Psychology, Carl-von-Ossietzky Universität, Oldenburg, Germany
Empirical observations of how labs conduct research indicate that the adoption rate of open practices for transparent, reproducible, and collaborative science remains in its infancy. This is at odds with the overwhelming evidence for the necessity of these practices and their benefits for individual researchers, scientific progress, and society in general. To date, information required for implementing open science practices throughout the different steps of a research project is scattered among many different sources. Even experienced researchers in the topic find it hard to navigate the ecosystem of tools and to make sustainable choices. Here, we provide an integrated overview of community-developed resources that can support collaborative, open, reproducible, replicable, robust and generalizable neuroimaging throughout the entire research cycle from inception to publication and across different neuroimaging modalities. We review tools and practices supporting study inception and planning, data acquisition, research data management, data processing and analysis, and research dissemination. An online version of this resource can be found at https://oreoni.github.io. We believe it will prove helpful for researchers and institutions to make a successful and sustainable move towards open and reproducible science and to eventually take an active role in its future development.
