Cycling on the Freeway: The perilous state of open-source neuroscience software
Most scientists need software to perform their research (Barker et al., 2020;Carver et al., 2022;Hettrick, 2014;Hettrick et al., 2014;Switters & Osimo, 2019), and neuroscientists are no exception. Whether we work with reaction times, electrophysiological signals, or magnetic resonance imaging data, we rely on software to acquire, analyze, and statistically evaluate the raw data we obtain-or to generate such data if we work with simulations. In recent years, there has been a shift toward relying on free, open-source scientific software (FOSSS) for neuroscience data analysis (Poldrack et al., 2019), in line with the broader open science movement in academia (McKiernan et al., 2016) and wider industry trends (Eghbal, 2016). Importantly, FOSSS is typically developed by working scientists (not professional software developers), which sets up a precarious situation given the nature of the typical academic workplace wherein academics, especially in their early careers, are on short- and fixed-term contracts. In this paper, we argue that the existing ecosystem of neuroscientific open-source software is brittle, and discuss why and how the neuroscience community needs to come together to ensure a healthy software ecosystem to the benefit of all.
Authors
- Britta U. Westner (ORCID: https://orcid.org/0000-0003-3231-1076)
- Alexandre Gramfort (ORCID: https://orcid.org/0000-0001-9791-4404)
- Vladimir Litvak (ORCID: https://orcid.org/0000-0001-8535-7452)
- Eric B. Larson (ORCID: https://orcid.org/0000-0003-4782-5360)
- Daniel McCloy (ORCID: https://orcid.org/0000-0002-7572-3241)
- Jan‐Mathijs Schoffelen (ORCID: https://orcid.org/0000-0003-0923-6610)
- Arfon M. Smith (ORCID: https://orcid.org/0000-0002-3957-2474)
- Scott Makeig (ORCID: https://orcid.org/0000-0002-9048-8438)
- Tim M. Tierney (ORCID: https://orcid.org/0009-0008-7575-679X)
- Daniel S. Katz (ORCID: https://orcid.org/0000-0001-5934-7525)
- Robert Oostenveld (ORCID: https://orcid.org/0000-0002-1974-1293)
- Arnaud Delorme (ORCID: https://orcid.org/0000-0002-0799-3557)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Université Toulouse III - Paul Sabatier (FR)
- Radboud University Nijmegen (NL)
- University of Illinois Urbana-Champaign (US)
- Queen Mary University of London (GB)
- University of Washington (US)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Université Paris-Saclay (FR)
- Radboud University Medical Center (NL)
- Karolinska Institutet (SE)
- University of California San Diego (US)
- Centre Inria de Saclay (FR)
- CEA Paris-Saclay (FR)
- National Center for Supercomputing Applications (US)
- Centre de recherche cerveau et cognition (FR)
- National Hospital for Neurology and Neurosurgery (GB)
- University College London (GB)
- Voith (United States) (US)
Publication Details
- Journal
- Imaging Neuroscience
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1162/imag_a_00554
- Citations
- 3
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 4.90
Funders
- Silicon Valley Community Foundation
- Epilepsy Research UK